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1.


    Cox, Victoria.
    Translating Statistics to Make Decisions [[electronic resource] :] : a Guide for the Non-Statistician / / Victoria. Cox ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIX, 324 p. 147 illus., 103 illus. in color. - Б. ц.
    Зміст:
Chapter 1: Design of Experiments --
Chapter 2: Data Collection --
Chapter 3: Exploratory Data Analysis --
Chapter 4: Descriptive Statistics --
Chapter 5: Measuring Uncertainty --
Chapter 6: Hypothesis Testing --
Chapter 7: Statistical Modeling --
Chapter 8: Multivariate Analysis --
Chapter 9: Graphs --
Chapter 10: Translation and Communication -- .
Рубрики: Leadership.
   Statistics .
   Business Strategy/Leadership.
   Statistics for Business, Management, Economics, Finance, Insurance.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Анотація: Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians—and also statisticians who present statistical reports to non-statisticians—must avoid if statistical results are to be correctly used for evidence-based business decision making. Victoria Cox, senior statistician at the United Kingdom’s Defence Science and Technology Laboratory (Dstl), distills the lessons of her long experience presenting the actionable results of complex statistical studies to users of widely varying statistical sophistication across many disciplines: from scientists, engineers, analysts, and information technologists to executives, military personnel, project managers, and officials across UK government departments, industry, academia, and international partners. The author shows how faulty statistical reasoning often undermines the utility of statistical results even among those with advanced technical training. Translating Statistics into Better Decisions teaches statistically naive readers enough about statistical questions, methods, models, assumptions, and statements that they will be able to extract the practical message from statistical reports and better constrain what conclusions cannot be made from the results. To non-statisticians with some statistical training, this book offers brush-ups, reminders, and tips for the proper use of statistics and solutions to common errors. To fellow statisticians, the author demonstrates how to present statistical output to non-statisticians to ensure that the statistical results are correctly understood and properly applied to real-world tasks and decisions. The book avoids algebra and proofs, but it does supply code written in R for those readers who are motivated to work out examples. Pointing along the way to instructive examples of statistics gone awry, Translating Statistics into Better Decisions walks readers through the typical course of a statistical study, progressing from the experimental design stage through the data collection process, exploratory data analysis, descriptive statistics, uncertainty, hypothesis testing, statistical modelling and multivariate methods, to graphs suitable for final presentation. The steady focus throughout the book is on how to turn the mathematical artefacts and specialist jargon that are second nature to statisticians into plain English for corporate customers and stakeholders. The final chapter neatly summarizes the book’s lessons and insights for accurately communicating statistical reports to the non-statisticians who commission and act on them. Readers will • Recognize and avoid common errors and misconceptions that cause statistical studies to be misinterpreted and misused by non-statisticians in organizational settings • Gain a practical understanding of the methods, processes, capabilities, and caveats of statistical studies to improve the application of statistical data to business decisions • See how to code statistical solutions in R.

Перейти: https://doi.org/10.1007/978-1-4842-2256-0

Дод.точки доступу:
Cox, Victoria. \.\; SpringerLink (Online service)
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2.


   
    Fundamentals of Statistical Hydrology [[electronic resource] /] : монография / ed. Naghettini, Mauro. - 1st ed. 2017. - [S. l. : s. n.]. - XI, 660 p. 162 illus., 103 illus. in color. - Б. ц.
    Зміст:
Chapter 1: Introduction to Statistical Hydrology --
Chapter 2: Preliminary Analysis of Hydrological Data --
Chapter 3: Elementary Theory of Probability --
Chapter 4: Discrete Random Variables: Distributions and Applications --
Chapter 5: Continuous Random Variables: Distributions and Applications --
Chapter 6: Parameter Estimation --
Chapter 7: Hypothesis Testing --
Chapter 8: At-Site Frequency Analysis of Hydrological Variables --
Chapter 9: Correlation and Regression --
Chapter 10: Regional Frequency Analysis of Hydrological Variables --
Chapter 11: Introduction of Bayesian Analysis and Its Applications in Hydrology --
Chapter 12: Introduction to the Analysis and Modelling of Nonstationary Hydrological Series.
Рубрики: Hydrogeology.
   Civil engineering.
   Hydrology.
   Statistics .
   Meteorology.
   Hydrogeology.
   Civil Engineering.
   Hydrology/Water Resources.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Meteorology.
Анотація: This textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises. Starting from simple notions of the essential graphical examination of hydrological data, the book gives a complete account of the role that probability considerations must play during modelling, diagnosis of model fit, prediction and evaluating the uncertainty in model predictions, including the essence of Bayesian application in hydrology and statistical methods under nonstationarity. The book also offers a comprehensive and useful discussion on subjective topics, such as the selection of probability distributions suitable for hydrological variables. On a practical level, it explains MS Excel charting and computing capabilities, demonstrates the use of Winbugs free software to solve Monte Carlo Markov Chain (MCMC) simulations, and gives examples of free R code to solve nonstationary models with nonlinear link functions with climate covariates.

Перейти: https://doi.org/10.1007/978-3-319-43561-9

Дод.точки доступу:
Naghettini, Mauro. \ed.\; SpringerLink (Online service)
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3.


    Sen, Zekai.
    Innovative Trend Methodologies in Science and Engineering [[electronic resource] /] : монография / Zekai. Sen ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIII, 349 p. 163 illus., 51 illus. in color. - Б. ц.
    Зміст:
Trend definition and analysis --
Trend in some disciplines --
Pros and cons of trend analysis --
Future research directions --
Purpose of this book.
Рубрики: Geotechnical engineering.
   Statistics .
   Artificial intelligence.
   Management.
   Industrial management.
   Geotechnical Engineering & Applied Earth Sciences.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Statistical Theory and Methods.
   Statistics for Social Sciences, Humanities, Law.
   Artificial Intelligence.
   Innovation/Technology Management.
Анотація: This book covers all types of literature on existing trend analysis approaches, but more than 60% of the methodologies are developed here and some of them are reflected to scientific literature and others are also innovative versions, modifications or improvements. The suggested methodologies help to design, develop, manage and deliver scientific applications and training to meet the needs of interested staff in companies, industries and universities including students. Technical content and expertise are also provided from different theoretical and especially active roles in the design, development and delivery of science in particular and economics and business in general. It is also ensured that, wherever possible and technically appropriate, priority is given to the inclusion and integration of real life data, examples and processes within the book content. The time seems right, because available books just focus on special sectors (fashion, social, business). This book reviews all the available trend approaches in the present literature on rational and logical bases. .

Перейти: https://doi.org/10.1007/978-3-319-52338-5

Дод.точки доступу:
Sen, Zekai. \.\; SpringerLink (Online service)
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4.


   
    Environmental Modeling with Stakeholders [[electronic resource] :] : theory, Methods, and Applications / / ed. Gray, Steven. [et al.]. - 1st ed. 2017. - [S. l. : s. n.]. - XXII, 370 p. 74 illus., 36 illus. in color. - Б. ц.
    Зміст:
Part I: The Process of Environmental Modeling with Stakeholders --
Cognitive, Material and Technological Considerations in Participatory Environmental Modeling --
Learning Through Participatory Modeling: Reflections on What it Means and How it is Measured --
Values in Participatory Modeling: Theory and Practice --
Eliciting Judgments, Priorities, and Values Using Structured Survey Methods --
Participatory Modeling and Structured Decision-making --
Ensuring that Ecological Science Contributes to Natural Resource Management using a Delphi-derived Approach --
Part II: The Application and Products of Environmental Modeling with Stakeholders --
Fuzzy-logic Cognitive Mapping: Introduction and Overview of the Method --
FCMs as a Common base for Linking Participatory Products and Models --
Extending Participatory Fuzzy Cognitive Mapping with a Control Nodes Methodology: A Case Study of a Development Bio-based Economy in the Humber Region, UK --
Effects of Livelihood-diversification on Sustainability of Natural Resources in the Rangelands of East Africa: Participatory Field Studies and Results of an Agent-based Model using the Knowledge of Indigenous Maasai Pastoralists of Kenya --
Level of Sustainable Activity: A Framework for Integrating Stakeholders into the Simulation Modeling and Management of Mixed-use Waterways --
Engaging Stakeholders in Environmental and Sustainability Decisions with Participatory System Dynamics Modeling --
Participatory Modeling and Community Dialog about Vulnerability of Lobster Fishing to Climate Change --
Case Study: Participatory Modeling to Assess Climate Impacts on Water Resources in the Big Wood Basin, Idaho --
Science based Modelling for Supporting Integrated Coastal Zone Management --
Assessing Flood Impacts, Wetland Changes and Climate Adaptation in Europe: The CLIMSAVE Approach --
Linking Participatory, Bayesian, and Agent-based Modeling Techniques to Simulate Coupled Natural-Human System: A Case Study with Ranchers in Sonora, Mexico.
Рубрики: Environmental management.
   Environmental law.
   Environmental policy.
   Ecology .
   Climate change.
   Statistics .
   Sustainable development.
   Environmental Management.
   Environmental Law/Policy/Ecojustice.
   Theoretical Ecology/Statistics.
   Climate Change.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Sustainable Development.
Анотація: This volume brings together, in a central text, chapters written by leading scholars working at the intersection of modeling, the natural and social sciences, and public participation. This book presents the current state of knowledge regarding the theory and practice of engaging stakeholders in environmental modeling for decision-making, and includes basic theoretical considerations, an overview of methods and tools available, and case study examples of these principles and methods in practice. Although there has been a significant increase in research and development regarding participatory modeling, a unifying text that provides an overview of the different methodologies available to scholars and a systematic review of case study applications has been largely unavailable. This edited volume seeks to address a gap in the literature and provide a primer that addresses the growing demand to adopt and apply a range of modeling methods that includes the public in environmental assessment and management. The book is divided into two main sections. The first part of the book covers basic considerations for including stakeholders in the modeling process and its intersection with the theory and practice of public participation in environmental decision-making. The second part of the book is devoted to specific applications and products of the various methods available through case study examination. This second part of the book also provides insight from several international experts currently working in the field about their approaches, types of interactions with stakeholders, models produced, and the challenges they perceived based on their practical experiences.

Перейти: https://doi.org/10.1007/978-3-319-25053-3

Дод.точки доступу:
Gray, Steven. \ed.\; Paolisso, Michael. \ed.\; Jordan, Rebecca. \ed.\; Gray, Stefan. \ed.\; SpringerLink (Online service)
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5.


    Azevedo, Leonardo.
    Geostatistical Methods for Reservoir Geophysics [[electronic resource] /] : монография / Leonardo. Azevedo, Soares, Amilcar. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXVII, 141 p. 114 illus., 84 illus. in color. - Б. ц.
    Зміст:
Introduction --
Fundamental geostatistical tools for data integration --
Simulation Models of Physical Phenomena in Earth Sciences --
Integration of geophysical data for reservoir modeling and characterization --
Data integration into geostatistical seismic inversion methodologies --
Afterword.
Рубрики: Geophysics.
   Statistics .
   Geology—Statistical methods.
   Economic geology.
   Geophysics/Geodesy.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Quantitative Geology.
   Economic Geology.
Анотація: This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers extensive geostatistical background information, including detailed descriptions of the main geostatistical tools traditionally used in Earth related sciences to infer the spatial distribution of a given property of interest. This framework is then directly linked with applications in the oil and gas industry and how it can be used as the basis to simultaneously integrate geophysical data (e.g. seismic reflection data) and well-log data into reservoir modeling and characterization. All of the cutting-edge methodologies presented here are first approached from a theoretical point of view and then supplemented by sample applications from real case studies involving different geological scenarios and different challenges. The book offers a valuable resource for students who are interested in learning more about the fascinating world of geostatistics and reservoir modeling and characterization. It offers them a deeper understanding of the main geostatistical concepts and how geostatistics can be used to achieve better data integration and reservoir modeling.

Перейти: https://doi.org/10.1007/978-3-319-53201-1

Дод.точки доступу:
Soares, Amilcar.; Azevedo, Leonardo. \.\; SpringerLink (Online service)
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6.


   
    Partial Order Concepts in Applied Sciences [[electronic resource] /] : монография / ed.: Fattore, Marco., Bruggemann, Rainer. - 1st ed. 2017. - [S. l. : s. n.]. - XI, 307 p. 87 illus., 26 illus. in color. - Б. ц.
    Зміст:
Part I.Theoretical and methodological advances --
1.Endowing posets with flesh: if, why and how? --
2.Incomparability/inequality measures and clustering --
3.Incomparable – what now, IV. Incomparabilities - a modeling challenge --
4.Partial Ordering and Metrology Analyzing Analytical Performance --
5.Functionals and synthetic indicators over finite posets --
6.Evaluation, considered as problem orientable mathematics over lattices --
7.A combined lexicographic-average rank approach for evaluating uncertain multi-indicator matrices with risk metrics --
Part II.Partial Order Theory in socio-economic sciences --
8.Peculiarities in multidimensional regional poverty --
9.Application of Partial Order Theory to Multidimensional Poverty Analysis in Switzerland --
10.Analysis of social participation: a multidimensional approach based on the theory of partial ordering --
11.POSET analysis of panel data with POSAC --
12.Partially Ordered Set Theory and Sen’s capability approach: a fruitful relationship --
Part III.Partial Order Theory in environmental sciences --
13.Ranking Chemicals with Respect to Accidents Frequency --
14.Formal Concept Analysis applications in chemistry: from radionuclides and molecular structure to toxicity and diagnosis --
15.Partial Order Analysis of the government dependence of the Sustainable Development Performance in Germany?s Federal States --
Part IV.New applications of Partial Order Theory --
16.A matching problem, partial order and an analysis applying the Copeland index --
17.Application of the Mixing Partial Order to Genes --
18.Analysing ethnopharmacological data matrices on traditional uses of medicinal plants with the contribution of Partial Order Techniques --
Part V.Software developments --
19.PARSEC: An R package for partial orders in socio-economics --
20.PyHasse and cloud computing. div>.
Рубрики: Environmental sciences.
   Statistics .
   Math. Appl. in Environmental Science.
   Statistics for Social Sciences, Humanities, Law.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Анотація: This book illustrates recent advances in applications of partial order theory and Hasse diagram techniques to data analysis, mainly in the socio-economic and environmental sciences. For years, partial order theory has been considered a fundamental branch of mathematics of only theoretical interest. In recent years, its effectiveness as a tool for data analysis is increasingly being realized and many applications of partially ordered sets to real problems in statistics and applied sciences have appeared. Main examples pertain to the analysis of complex and multidimensional systems of ordinal data and to problems of multi-criteria decision making, so relevant in social and environmental sciences. Partial Order Concepts in Applied Sciences presents new theoretical and methodological developments in partial order for data analysis, together with a wide range of applications to different topics: multidimensional poverty, economic development, inequality measurement, ecology and pollution, and biology, to mention a few. The book is of interest for applied mathematicians, statisticians, social scientists, environmental scientists and all those aiming at keeping pace with innovation in this interesting, growing and promising research field.

Перейти: https://doi.org/10.1007/978-3-319-45421-4

Дод.точки доступу:
Fattore, Marco. \ed.\; Bruggemann, Rainer. \ed.\; SpringerLink (Online service)
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7.


    Sikdar, Subhas K.
    Measuring Progress Towards Sustainability [[electronic resource] :] : a Treatise for Engineers / / Subhas K. Sikdar, Sengupta, Debalina., Mukherjee, Rajib. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XV, 280 p. 78 illus., 60 illus. in color. - Б. ц.
    Зміст:
Chapter 1. Introduction to Scientific Sustainability --
Chapter 2. Sustainability and Innovation --
Chapter 3. Engineering Sustainability, Needs for Metrology and Standards --
Chapter 4. Systems, Indicators and Sustainability Assessment --
Chapter 5. Sustainability Measurement For Technology and Business Systems: Use of Currently Available for Quantification --
Chapter 6. Data-based Statistical Algorithm for Sustainability Measurement and Decision Making --
Chapter 7. Statistical Algorithms for Sustainability Measurement and Decision Making --
Chapter 8. Case Studies in Sustainability Decision Making --
Chapter 9. Energy Sustainability, Water Sustainability.
Рубрики: Sustainable development.
   Environmental sciences.
   Environmental engineering.
   Biotechnology.
   Chemical engineering.
   Industrial management—Environmental aspects.
   Statistics .
   Sustainable Development.
   Environmental Science and Engineering.
   Environmental Engineering/Biotechnology.
   Industrial Chemistry/Chemical Engineering.
   Sustainability Management.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Анотація: This book is a state of the art treatise on what has been done so far on measuring sustainability for decision making. Contributions will appeal to engineers and scientists engaged in technology development, assessment, and verification. Researchers working on engineering sustainability are likely to get ideas for further research in quantifying sustainability for industrial systems. Concepts described can be applied across all scales, from process technology to global sustainability; and challenges and limitations are also addressed. Readers will discover important insights about simulation-based approaches to process design and quantitative measurement techniques of sustainability for business and technology systems. Most of the examples and case studies are from chemical enterprises but the methodologies presented could be applicable to any system for which quantitative data for indicators are available, and the choice of the set of indicators of sustainability are comprehensive.

Перейти: https://doi.org/10.1007/978-3-319-42719-5

Дод.точки доступу:
Sengupta, Debalina.; Mukherjee, Rajib.; Sikdar, Subhas K. \.\; SpringerLink (Online service)
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8.


    Howarth, Richard J.
    Dictionary of Mathematical Geosciences [[electronic resource] :] : with Historical Notes / / Richard J. Howarth ; . - 1st ed. 2017. - [S. l. : s. n.]. - XVI, 893 p. - Б. ц.
    Зміст:
Introduction --
Mathematical symbols [notation] --
Set theory symbols [notation] --
Dictionary of Mathematical Geology.
Рубрики: Geophysics.
   Geology—Statistical methods.
   Statistics .
   Mathematical physics.
   Geochemistry.
   Geophysics/Geodesy.
   Quantitative Geology.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Mathematical Applications in the Physical Sciences.
   Geochemistry.
Анотація: This dictionary includes a number of mathematical, statistical and computing terms and their definitions to assist geoscientists and provide guidance on the methods and terminology encountered in the literature. Each technical term used in the explanations can be found in the dictionary which also includes explanations of basics, such as trigonometric functions and logarithms. There are also citations from the relevant literature to show the term’s first use in mathematics, statistics, etc. and its subsequent usage in geosciences.

Перейти: https://doi.org/10.1007/978-3-319-57315-1

Дод.точки доступу:
Howarth, Richard J. \.\; SpringerLink (Online service)
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9.


    Boskoski, Pavle.
    Fast Electrochemical Impedance Spectroscopy [[electronic resource] :] : as a Statistical Condition Monitoring Tool / / Pavle. Boskoski, Debenjak, Andrej., Mileva Boshkoska, Biljana. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIII, 83 p. 43 illus., 11 illus. in color. - Б. ц.
    Зміст:
1 Introduction --
2 Fast Electrochemical Impedance Spectroscopy --
3 Statistical Properties --
4 Test Cases --
5 Statistical Condition Monitoring Tool --
6 Condition Monitoring of PEM Fuel Cells --
7 Hardware Components for Condition Monitoring of PEM Fuel Cells --
8 Conclusion --
References --
Listings.
Рубрики: Energy storage.
   Electrochemistry.
   Quality control.
   Reliability.
   Industrial safety.
   Signal processing.
   Image processing.
   Speech processing systems.
   Statistics .
   Renewable energy resources.
   Energy Storage.
   Electrochemistry.
   Quality Control, Reliability, Safety and Risk.
   Signal, Image and Speech Processing.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Renewable and Green Energy.
Анотація: This book offers a review of electrochemical impedance spectroscopy (EIS) and its application in online condition monitoring of electrochemical devices, focusing on the practicalities of performing fast and accurate EIS. The first part of the book addresses the theoretical aspects of the fast EIS technique, including stochastic excitation signals, time-frequency signal processing, and statistical analysis of impedance measurements. The second part presents an application of the fast EIS technique for condition monitoring and evaluates the performance of the proposed fast EIS methodology in three different types of electrochemical devices: a Li-ion battery, a Li-S cell, and a polymer electrolyte membrane (PEM) fuel cell. Uniquely, in addition to theoretical aspects the book provides practical guidelines for implementation, commissioning, and exploitation of EIS for condition monitoring of electrochemical devices, making it a valuable resource for practicing engineers as well as researchers.

Перейти: https://doi.org/10.1007/978-3-319-53390-2

Дод.точки доступу:
Debenjak, Andrej.; Mileva Boshkoska, Biljana.; Boskoski, Pavle. \.\; SpringerLink (Online service)
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10.


    Adrees, Atia.
    Risk Based Assessment of Subsynchronous Resonance in AC/DC Systems [[electronic resource] /] : монография / Atia. Adrees ; . - 1st ed. 2017. - [S. l. : s. n.]. - XX, 218 p. 120 illus., 92 illus. in color. - Б. ц.
    Зміст:
Introduction --
Power System Modelling and SSR Analysis Methods --
Ranking of Generators Based on the Exposure to Subsynchronous Resonance --
Methodology for the Evaluation of Risk of Subsynchronous Resonance --
Influence of Uncertainties in Mechanical Parameters --
Optimal Series Compensation of Lines to Minimize the Exposure of Generators to SSR --
Future Work and Conclusions.
Рубрики: Quality control.
   Reliability.
   Industrial safety.
   Power electronics.
   Statistics .
   Energy systems.
   Quality Control, Reliability, Safety and Risk.
   Power Electronics, Electrical Machines and Networks.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Energy Systems.
   Energy Systems.
Анотація: This relevant and timely thesis presents the pioneering use of risk-based assessment tools to analyse the interaction between electrical and mechanical systems in mixed AC/DC power networks at subsynchronous frequencies. It also discusses assessing the effect of uncertainties in the mechanical parameters of a turbine generator on SSR in a meshed network with both symmetrical and asymmetrical compensation systems. The research presented has resulted in 12 publications including three top international journal papers (IEEE Transactions on Power Systems) and nine international conference publications, including two award-winning papers. .

Перейти: https://doi.org/10.1007/978-3-319-44947-0

Дод.точки доступу:
Adrees, Atia. \.\; SpringerLink (Online service)
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11.


    Si, Xiao-Sheng.
    Data-Driven Remaining Useful Life Prognosis Techniques [[electronic resource] :] : stochastic Models, Methods and Applications / / Xiao-Sheng. Si, Zhang, Zheng-Xin., Hu, Chang-Hua. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XVII, 430 p. 104 illus., 84 illus. in color. - Б. ц.
    Зміст:
From the Contents: Part I Introduction, Basic Concepts and Preliminaries --
Overview --
Advances in Data-Driven Remaining Useful Life Prognosis --
Part II Remaining Useful Life Prognosis for Linear Stochastic Degrading Systems --
Part III Remaining Useful Life Prognosis for Nonlinear Stochastic Degrading Systems --
Part IV Applications of Prognostics in Decision Making --
Variable Cost-based Maintenance Model from Prognostic Information.
Рубрики: Quality control.
   Reliability.
   Industrial safety.
   Probabilities.
   Operations research.
   Decision making.
   Statistics .
   Quality Control, Reliability, Safety and Risk.
   Probability Theory and Stochastic Processes.
   Operations Research/Decision Theory.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Анотація: This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail. The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as maintenance-related decisions and ordering spare parts. It also highlights the latest advances in data-driven remaining useful life prognosis techniques, especially in the contexts of adaptive prognosis for linear stochastic degrading systems, nonlinear degradation modeling based prognosis, residual storage life prognosis, and prognostic information-based decision-making.

Перейти: https://doi.org/10.1007/978-3-662-54030-5

Дод.точки доступу:
Zhang, Zheng-Xin.; Hu, Chang-Hua.; Si, Xiao-Sheng. \.\; SpringerLink (Online service)
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12.


    Garcia-Alcaraz, Jorge Luis.
    Kaizen Planning, Implementing and Controlling [[electronic resource] /] : монография / Jorge Luis. Garcia-Alcaraz, Oropesa-Vento, Midiala., Maldonado-Macias, Aide Aracely. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXVII, 314 p. 28 illus., 27 illus. in color. - Б. ц.
    Зміст:
Kaizen and lean manufacturing --
Literature review --
Adopting Kaizen --
Methodology --
Descriptive analysis of the simple --
Descriptive analysis of items: Kaizen planning stage --
Descriptive analysis of items: Kaizen execution phase --
Descriptive analysis of items: Kaizen control phase --
Descriptive analysis of Kaizen benefits --
Validation of variables --
Kaizen planning phase models: Activities and Benefits --
Kaizen execution phase models: Activities and Benefits --
Kaizen control phase models: Activities and Benefits.
Рубрики: Engineering economics.
   Engineering economy.
   Production management.
   Statistics .
   Engineering Economics, Organization, Logistics, Marketing.
   Production.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Анотація: This book reports a literature review on kaizen, its industrial applications, critical success factors, benefits gained, journals that publish about it, main authors (research groups) and universities. Kaizen is treated in this book in three stages: planning, implementation and control. The authors provide a questionnaire designed with activities in every stage, highlighting the benefits gained in each stage. The study has been applied to more than 400 managers and leaders in continuous improvement in Mexican maquiladoras. A univariate analysis is provided to the activities in every stage. Moreover, structural equation models associating those activities with the benefits gained are presented for a statistical validation. Such a relationship between activities and benefits helps managers to identify the most important factor affecting their benefits and financial income.

Перейти: https://doi.org/10.1007/978-3-319-47747-3

Дод.точки доступу:
Oropesa-Vento, Midiala.; Maldonado-Macias, Aide Aracely.; Garcia-Alcaraz, Jorge Luis. \.\; SpringerLink (Online service)
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13.


   
    14th International Probabilistic Workshop [[electronic resource] /] : монография / ed.: Caspeele, Robby., Taerwe, Luc., Proske, Dirk. - 1st ed. 2017. - [S. l. : s. n.]. - XII, 540 p. 325 illus., 253 illus. in color. - Б. ц.
    Зміст:
Part I Biomechanical Engineering --
Part II History of Mechanism and Machine Science --
Part III Linkages and Mechanical Controls --
Part IV Multi-Body Dynamics --
Part V Reliability --
Part VI Robotics and Mechatronics --
Part VII Transportation Machinery --
Part VIII Tribology --
Part IX Vibrations.
Рубрики: Civil engineering.
   Quality control.
   Reliability.
   Industrial safety.
   Statistics .
   Civil Engineering.
   Quality Control, Reliability, Safety and Risk.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Анотація: This book presents the proceedings of the 14th International Probabilistic Workshop that was held in Ghent, Belgium in December 2016. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs related to, for example, performance-based design, service-life design, life-cycle analysis, product optimization, assessment of existing structures and structural robustness give rise to new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these developments. These proceedings are a valuable resource for anyone interested in contemporary developments in the field of probabilistic engineering applications.

Перейти: https://doi.org/10.1007/978-3-319-47886-9

Дод.точки доступу:
Caspeele, Robby. \ed.\; Taerwe, Luc. \ed.\; Proske, Dirk. \ed.\; SpringerLink (Online service)
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14.


   
    Risk and Reliability Analysis: Theory and Applications [[electronic resource] :] : in Honor of Prof. Armen Der Kiureghian / / ed. Gardoni, Paolo. - 1st ed. 2017. - [S. l. : s. n.]. - XIII, 559 p. 241 illus. - Б. ц.
    Зміст:
Risk and Reliability Analysis --
Structural System Reliability, Reloaded --
Global Buckling Reliability Analysis of Slender Network Arch Bridges: An Application of Monte Carlo-based Estimation by Optimized Fitting --
Review of Quantitative Reliability Methods for Onshore Oil and Gas Pipelines --
An Intuitive Basis of the Probability Density Evolution Method (PDEM) for Stochastic Dynamics --
The Tail Equivalent Linearization Method for Nonlinear Stochastic Processes, Genesis and Developments --
Estimate of Small First Passage Probabilities of Nonlinear Random Vibration Systems --
Generation of Non-synchronous Earthquake Signals --
Seismic Response Analysis with Spatially Varying Stochastic Excitation --
Application of CQC Method to Seismic Response Control with Viscoelastic Dampers. .
Рубрики: Quality control.
   Reliability.
   Industrial safety.
   Probabilities.
   Statistics .
   Quality Control, Reliability, Safety and Risk.
   Probability Theory and Stochastic Processes.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Анотація: This book presents a unique collection of contributions from some of the foremost scholars in the field of risk and reliability analysis. Combining the most advanced analysis techniques with practical applications, it is one of the most comprehensive and up-to-date books available on risk-based engineering. All the fundamental concepts needed to conduct risk and reliability assessments are covered in detail, providing readers with a sound understanding of the field and making the book a powerful tool for students and researchers alike. This book was prepared in honor of Professor Armen Der Kiureghian, one of the fathers of modern risk and reliability analysis.

Перейти: https://doi.org/10.1007/978-3-319-52425-2

Дод.точки доступу:
Gardoni, Paolo. \ed.\; SpringerLink (Online service)
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15.


    de Winter, Winter, Joost C. F.
    Human Subject Research for Engineers [[electronic resource] :] : a Practical Guide / / Winter, Joost C. F. de Winter, Dodou, Dimitra. ; . - 1st ed. 2017. - [S. l. : s. n.]. - IX, 105 p. 23 illus., 9 illus. in color. - Б. ц.
    Зміст:
1 Scientific Method, Human Research Ethics, and Biosafety/Biosecurity --
2 Experimental Design --
3 Statistics --
4 Publishing --
MATLAB Scripts.
Рубрики: Engineering design.
   Control engineering.
   Robotics.
   Mechatronics.
   Engineering ethics.
   User interfaces (Computer systems).
   Statistics .
   Biometrics (Biology).
   Engineering Design.
   Control, Robotics, Mechatronics.
   Engineering Ethics.
   User Interfaces and Human Computer Interaction.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Biometrics.
Анотація: This Brief introduces engineers to the main principles in ethics, research design, statistics, and publishing of human subject research. In recent years, engineering has become strongly connected to disciplines such as biology, medicine, and psychology. Often, engineers (and engineering students) are expected to perform human subject research. Typical human subject research topics conducted by engineers include human-computer interaction (e.g., evaluating the usability of software), exoskeletons, virtual reality, teleoperation, modelling of human behaviour and decision making (often within the framework of ‘big data’ research), product evaluation, biometrics, behavioural tracking (e.g., of work and travel patterns, or mobile phone use), transport and planning (e.g., an analysis of flows or safety issues), etc. Thus, it can be said that knowledge on how to do human subject research is indispensable for a substantial portion of engineers. Engineers are generally well trained in calculus and mechanics, but may lack the appropriate knowledge on how to do research with human participants. In order to do high-quality human subject research in an ethical manner, several guidelines have to be followed and pitfalls have to be avoided. This book discusses these guidelines and pitfalls. The aim is to prepare engineers and engineering students to carry out independent research in a responsible manner.

Перейти: https://doi.org/10.1007/978-3-319-56964-2

Дод.точки доступу:
Dodou, Dimitra.; de Winter, Joost C.F. \.\; SpringerLink (Online service)
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16.


    Gorban, Igor I.
    The Statistical Stability Phenomenon [[electronic resource] /] : монография / Igor I. Gorban ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXXIX, 322 p. 115 illus., 7 illus. in color. - Б. ц.
    Зміст:
Features of the Statistical Stability Phenomenon --
The Phenomenon of Statistical Stability and its Properties --
Determinism and Uncertainty --
Formalization of the Statistical Stability Concept --
Dependence of the Statistical Stability of a Stochastic Process on its Spectrum-Correlation Characteristics --
Experimental Study of the Statistical Stability Phenomenon --
Experimental Investigation of the Statistical Stability of Physical Processes over Large Observation Intervals --
Experimental Investigation of the Statistical Stability of Meteorological Data --
Experimental Studies of the Statistical Stability of Radiation from Astrophysical Objects --
Statistical Stability of Different Types of Noise and Process --
The Theory of Hyper-random Phenomena --
Hyper-random Events and Variables --
Hyper-random Functions --
Stationary and Ergodic Hyper-random Functions --
Transformations of Hyper-random Variables and Processes --
Fundamentals of the Statistics of Hyper-random Phenomena --
Principles of the Mathematical Analysis of Divergent and Many-valued Functions --
Divergent Sequences and Functions --
Description of Divergent Sequences and Functions --
Divergent Sequences --
Many-valued Variables, Sequences, and Functions --
Principles of the Mathematical Analysis of Many-valued Functions --
Statistical Laws in Statistical Stability Violation --
The Law of Large Numbers --
The Central Limit Theorem --
Accuracy and Measurement Models --
The Problem of Uncertainty --
Epilogue --
References.
Рубрики: Applied mathematics.
   Engineering mathematics.
   Physical measurements.
   Measurement   .
   Statistics .
   Statistical physics.
   Dynamical systems.
   Mathematical physics.
   Mathematical and Computational Engineering.
   Measurement Science and Instrumentation.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Complex Systems.
   Mathematical Applications in the Physical Sciences.
   Statistical Physics and Dynamical Systems.
Анотація: This monograph investigates violations of statistical stability of physical events, variables, and processes and develops a new physical-mathematical theory taking into consideration such violations – the theory of hyper-random phenomena. There are five parts. The first describes the phenomenon of statistical stability and its features, and develops methods for detecting violations of statistical stability, in particular when data is limited. The second part presents several examples of real processes of different physical nature and demonstrates the violation of statistical stability over broad observation intervals. The third part outlines the mathematical foundations of the theory of hyper-random phenomena, while the fourth develops the foundations of the mathematical analysis of divergent and many-valued functions. The fifth part contains theoretical and experimental studies of statistical laws where there is violation of statistical stability. The monograph should be of particular interest to engineers and scientists in general who study the phenomenon of statistical stability and use statistical methods for high-precision measurements, prediction, and signal processing over long observation intervals.

Перейти: https://doi.org/10.1007/978-3-319-43585-5

Дод.точки доступу:
Gorban, Igor I. \.\; SpringerLink (Online service)
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17.


   
    Variational Methods in Molecular Modeling [[electronic resource] /] : монография / ed. Wu, Jianzhong. - 1st ed. 2017. - [S. l. : s. n.]. - XII, 324 p. 69 illus. - Б. ц.
    Зміст:
Variational Methods in Statistical Thermodynamics – A Pedagogical Introduction --
Square-Gradient Models for Inhomogeneous Many-body Systems --
Classical Density Functional Theory for Molecular Systems --
Classical Density Functional Theory of Polymeric Fluids and Ionic Liquids --
Variational Perturbation Theory for Electrolyte Solutions --
Self-Consistent-Field Theory of Inhomogeneous Polymeric Systems --
Variational Methods for Biomolecular Modeling --
A Theoretician’s Approach to Nematic Liquid Crystals and Their Applications --
Dynamical Density Functional Theory for Brownian Dynamics of Colloidal Particles --
Introduction to the Variational Monte Carlo Method in Quantum Chemistry and Physics.
Рубрики: Mechanics.
   Mechanics, Applied.
   Chemoinformatics.
   Statistics .
   Computer simulation.
   Biomathematics.
   Solid Mechanics.
   Computer Applications in Chemistry.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Simulation and Modeling.
   Mathematical and Computational Biology.
Анотація: This book presents tutorial overviews for many applications of variational methods to molecular modeling. Topics discussed include the Gibbs-Bogoliubov-Feynman variational principle, square-gradient models, classical density functional theories, self-consistent-field theories, phase-field methods, Ginzburg-Landau and Helfrich-type phenomenological models, dynamical density functional theory, and variational Monte Carlo methods. Illustrative examples are given to facilitate understanding of the basic concepts and quantitative prediction of the properties and rich behavior of diverse many-body systems ranging from inhomogeneous fluids, electrolytes and ionic liquids in micropores, colloidal dispersions, liquid crystals, polymer blends, lipid membranes, microemulsions, magnetic materials and high-temperature superconductors. All chapters are written by leading experts in the field and illustrated with tutorial examples for their practical applications to specific subjects. With emphasis placed on physical understanding rather than on rigorous mathematical derivations, the content is accessible to graduate students and researchers in the broad areas of materials science and engineering, chemistry, chemical and biomolecular engineering, applied mathematics, condensed-matter physics, without specific training in theoretical physics or calculus of variations.

Перейти: https://doi.org/10.1007/978-981-10-2502-0

Дод.точки доступу:
Wu, Jianzhong. \ed.\; SpringerLink (Online service)
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18.


    Molchanov, Ilya.
    Theory of Random Sets [[electronic resource] /] : монография / Ilya. Molchanov ; . - 2nd ed. 2017. - [S. l. : s. n.]. - XVI, 678 p. 26 illus. - Б. ц.
    Зміст:
1 Random Closed Sets and Capacity Functionals --
2 Expectations of Random Sets --
3 Minkowski Sums --
4 Unions of Random Sets --
5 Random Sets and Random Functions --
A Topological spaces and metric spaces --
B Linear spaces --
C Space of closed sets --
D Compact sets and the Hausdorff metric --
E Multifunctions and semicontinuity --
F Measures and probabilities --
G Capacities --
H Convex sets --
I Semigroups, cones, and harmonic analysis --
J Regular variation --
References.
Рубрики: Probabilities.
   Game theory.
   Mathematical physics.
   Statistics .
   Electrical engineering.
   Economic theory.
   Probability Theory and Stochastic Processes.
   Game Theory, Economics, Social and Behav. Sciences.
   Theoretical, Mathematical and Computational Physics.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Electrical Engineering.
   Economic Theory/Quantitative Economics/Mathematical Methods.
Анотація: This monograph, now in a thoroughly revised second edition, offers the latest research on random sets. It has been extended to include substantial developments achieved since 2005, some of them motivated by applications of random sets to econometrics and finance. The present volume builds on the foundations laid by Matheron and others, including the vast advances in stochastic geometry, probability theory, set-valued analysis, and statistical inference. It shows the various interdisciplinary relationships of random set theory within other parts of mathematics, and at the same time fixes terminology and notation that often vary in the literature, establishing it as a natural part of modern probability theory and providing a platform for future development. It is completely self-contained, systematic and exhaustive, with the full proofs that are necessary to gain insight. Aimed at research level, Theory of Random Sets will be an invaluable reference for probabilists; mathematicians working in convex and integral geometry, set-valued analysis, capacity and potential theory; mathematical statisticians in spatial statistics and uncertainty quantification; specialists in mathematical economics, econometrics, decision theory, and mathematical finance; and electronic and electrical engineers interested in image analysis.

Перейти: https://doi.org/10.1007/978-1-4471-7349-6

Дод.точки доступу:
Molchanov, Ilya. \.\; SpringerLink (Online service)
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19.


    Fayolle, Guy.
    Random Walks in the Quarter Plane [[electronic resource] :] : algebraic Methods, Boundary Value Problems, Applications to Queueing Systems and Analytic Combinatorics / / Guy. Fayolle, Iasnogorodski, Roudolf., Malyshev, Vadim. ; . - 2nd ed. 2017. - [S. l. : s. n.]. - XVII, 248 p. 17 illus. - Б. ц.
    Зміст:
Introduction and History --
I The General Theory. - Probabilistic Background. - Foundations of the Analytic Approach. - The Case of a Finite Group --
II Applications to Queueing Systems and Analytic Combinatorics --
A Two-Coupled Processor Model. - References.
Рубрики: Probabilities.
   Statistics .
   Mathematical statistics.
   Difference equations.
   Functional equations.
   Probability Theory and Stochastic Processes.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
   Probability and Statistics in Computer Science.
   Difference and Functional Equations.
Анотація: This monograph aims to promote original mathematical methods to determine the invariant measure of two-dimensional random walks in domains with boundaries. Such processes arise in numerous applications and are of interest in several areas of mathematical research, such as Stochastic Networks, Analytic Combinatorics, and Quantum Physics. This second edition consists of two parts. Part I is a revised upgrade of the first edition (1999), with additional recent results on the group of a random walk. The theoretical approach given therein has been developed by the authors since the early 1970s. By using Complex Function Theory, Boundary Value Problems, Riemann Surfaces, and Galois Theory, completely new methods are proposed for solving functional equations of two complex variables, which can also be applied to characterize the Transient Behavior of the walks, as well as to find explicit solutions to the one-dimensional Quantum Three-Body Problem, or to tackle a new class of Integrable Systems. Part II borrows special case-studies from queueing theory (in particular, the famous problem of Joining the Shorter of Two Queues) and enumerative combinatorics (Counting, Asymptotics). Researchers and graduate students should find this book very useful.

Перейти: https://doi.org/10.1007/978-3-319-50930-3

Дод.точки доступу:
Iasnogorodski, Roudolf.; Malyshev, Vadim.; Fayolle, Guy. \.\; SpringerLink (Online service)
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20.


    Heydenreich, Markus.
    Progress in High-Dimensional Percolation and Random Graphs [[electronic resource] /] : монография / Markus. Heydenreich, van der Hofstad, Remco. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XII, 285 p. 10 illus., 1 illus. in color. - Б. ц.
    Зміст:
Preface --
1. Introduction and motivation --
2. Fixing ideas: Percolation on a tree and branching random walk --
3. Uniqueness of the phase transition --
4. Critical exponents and the triangle condition --
5. Proof of triangle condition --
6. The derivation of the lace expansion via inclusion-exclusion --
7. Diagrammatic estimates for the lace expansion --
8. Bootstrap analysis of the lace expansion --
9. Proof that ? = 2 and ? = 1 under the triangle condition --
10. The non-backtracking lace expansion --
11. Further critical exponents --
12. Kesten's incipient infinite cluster --
13. Finite-size scaling and random graphs --
14. Random walks on percolation clusters --
15. Related results --
16. Further open problems --
Bibliography.
Рубрики: Probabilities.
   Statistics .
   Probability Theory and Stochastic Processes.
   Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Анотація: This text presents an engaging exposition of the active field of high-dimensional percolation that will likely provide an impetus for future work. With over 90 exercises designed to enhance the reader’s understanding of the material, as well as many open problems, the book is aimed at graduate students and researchers who wish to enter the world of this rich topic.  The text may also be useful in advanced courses and seminars, as well as for reference and individual study. Part I, consisting of 3 chapters, presents a general introduction to percolation, stating the main results, defining the central objects, and proving its main properties. No prior knowledge of percolation is assumed. Part II, consisting of Chapters 4–9, discusses mean-field critical behavior by describing the two main techniques used, namely, differential inequalities and the lace expansion. In Parts I and II, all results are proved, making this the first self-contained text discussing high-dimensiona l percolation.  Part III, consisting of Chapters 10–13, describes recent progress in high-dimensional percolation.   Partial proofs and substantial overviews of how the proofs are obtained are given. In many of these results, the lace expansion and differential inequalities or their discrete analogues are central. Part IV, consisting of Chapters 14–16, features related models and further open problems, with a focus on the big picture.

Перейти: https://doi.org/10.1007/978-3-319-62473-0

Дод.точки доступу:
van der Hofstad, Remco.; Heydenreich, Markus. \.\; SpringerLink (Online service)
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