Functional Analysis Methods for Reliability Models

Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-

Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-

The purpose of this book is to present methods for developing, evaluating and maintaining rater-mediated assessment systems. Rater-mediated assessments involve ratings that are assigned by raters to p

The purpose of this book is to present methods for developing, evaluating and maintaining rater-mediated assessment systems. Rater-mediated assessments involve ratings that are assigned by raters to p

Measurement and Data Analysis for Engineering and Science, Fourth Edition, provides up-to-date coverage of experimentation methods in science and engineering. This edition adds five new "concept chapt

A comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced undergraduate and graduate students, as well as seasoned researchers. The book begins with an extensive discussion of the foundational concepts and methods of probability and statistics under both the frequentist and Bayesian interpretations of probability. It next presents basic concepts and techniques used for measurements of particle production cross-sections, correlation functions, and particle identification. Much attention is devoted to notions of statistical and systematic errors, beginning with intuitive discussions and progressively introducing the more formal concepts of confidence intervals, credible range, and hypothesis testing. The book also includes an in-depth discussion of the methods used to unfold or correct data for instrumental effects associated with measurement and process noise as well as particle and event losses, before ending with a presentati

Basic theory, applications, and recent trends in analytical techniques used in crude oil and related products analysis This book covers the application of different spectroscopic methods to characteri

Detailed and comprehensive treatment of performance analysis techniques for commercial jet aircraft including technical, operational and regulatory considerations Based on the author’s industrial exp

How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.

This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approach

This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most

"This book focuses on the application of the methods organized in statistical physics, fuzzy logic, neuro nets and combinatorial stochastic processes which have been proven useful in analyzing complex

Quantitative Methods for Second Language Research introduces the approaches to and techniques for quantitative data analysis in second language research (SLR), with a primary focus on second language

This book aims to promote regression methods for analyzing lifetime (or time-to-event) data that are based on a representation of the underlying process, and are therefore likely to offer greater scie

This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally.

Decomposition Methods for Differential Equations: Theory and Applications describes the analysis of numerical methods for evolution equations based on temporal and spatial decomposition methods. It co

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorith

Informed by detailed analysis of data from large-scale diachronic corpora, this book is a comprehensive account of changes to the expression of negation in English. Its methodological approach brings together up-to-date techniques from corpus linguistics and minimalist syntactic analysis to identify and characterise a series of interrelated changes affecting negation during the period 800–1700. Phillip Wallage uses cutting-edge statistical techniques and large-scale corpora to model changes in English negation over a period of nine hundred years. These models provide crucial empirical evidence which reveals the specific processes of syntactic and functional change affecting early English negation, and identifies diachronic relationships between these processes.

A comprehensive approach to numerical partial differential equations Spline Collocation Methods for Partial Differential Equations combines the collocation analysis of partial differential equa

A one-stop guide for public health students and practitioners learning regression analysis and statistical methods This book is written for public health professionals and students interested in apply

This book provides the application of generalized linear mixed-effects models and its related models in the statistical design and analysis of repeated measures adopted in randomized controlled trials

Deep Learning for Medical Image Analysis provides a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms have been applied to medi

A wide variety of applications ranging from microelectronics to turbines for propulsion and power generation rely on films, coatings, and multilayers to improve performance. As such, the ability to predict coating failure - such as delamination (debonding), mud-cracking, blistering, crack kinking, and the like - is critical to component design and development. This work compiles and organizes decades of research that established the theoretical foundation for predicting such failure mechanisms, and clearly outlines the methodology needed to predict performance. Detailed coverage of cracking in multilayers is provided, with an emphasis on the role of differences in thermoelastic properties between the layers. The comprehensive theoretical foundation of the book is complemented by easy-to-use analysis codes designed to empower novices with the tools needed to simulate cracking; these codes enable not only precise quantitative reproduction of results presented graphically in the literatur

Real Analysis is indispensable for in-depth understanding and effective application of methods of modern analysis. This concise and friendly book is written for early graduate students of mathematics

Real Analysis is indispensable for in-depth understanding and effective application of methods of modern analysis. This concise and friendly book is written for early graduate students of mathematics

Handbook of Numerical Methods for Hyperbolic Problems explores the changes that have taken place in the past few decades regarding literature in the design, analysis and application of various numeric

The purpose of this book is to define a broad spectrum of statistical linear models that is useful in the analysis of data. Considered a "classic" for years, the material in this book is now

This book focuses on the approximation of nonlinear equations using iterative methods, presenting nine contributions on the construction and analysis of the methods, including convergence, efficiency,

In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. A series of methods for the formation of higher-ty

Decision-making is at the heart of governing and governance, and is a more challenging task compared to just a few decades ago as a result of increasing social complexity and globalization. In this book, B. Guy Peters and Jon Pierre propose a new framework for the comparative analysis of governance, arguing that government remains a central actor in governance. By articulating the functionalist dimension of governance they show how goal setting, resource mobilization, decision-making, implementation and feedback can be performed by a combination of different types of actors. Even so, effective governance requires a leading role for government. The framework is also applied to a taxonomy of governance arrangements and national styles of governing. Comparative Governance advances our knowledge about governance failure and how forms of governance may change. It also significantly strengthens the theory of governance, showing how governance can be studied conceptually as well as empiricall

Decision-making is at the heart of governing and governance, and is a more challenging task compared to just a few decades ago as a result of increasing social complexity and globalization. In this book, B. Guy Peters and Jon Pierre propose a new framework for the comparative analysis of governance, arguing that government remains a central actor in governance. By articulating the functionalist dimension of governance they show how goal setting, resource mobilization, decision-making, implementation and feedback can be performed by a combination of different types of actors. Even so, effective governance requires a leading role for government. The framework is also applied to a taxonomy of governance arrangements and national styles of governing. Comparative Governance advances our knowledge about governance failure and how forms of governance may change. It also significantly strengthens the theory of governance, showing how governance can be studied conceptually as well as empiricall

The application of Bayesian Networks (BR) in dependability is a relatively recent development. Their popularity grew in the area of reliability analysis of systems, since the 1990s. A large number of

This monograph presents methods for time domain wave propagation problems. It also describes how to implement them in physical models. Highlights include the construction of 3D finite elements on non

This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods. Topics covered are stochastic calculus, option pricing, optimal po

Analytical Solution Methods for Boundary Value Problems is an extensively revised, new English language edition of the original 2011 Russian language work, which provides deep analysis methods and exa

This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wi

This volume provides in-depth, step-by-step coverage of the most common matrix methods now used in statistical applications, including eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix d

Fourier analysis aims to decompose functions into a superposition of simple trigonometric functions, whose special features can be exploited to isolate specific components into manageable clusters before reassembling the pieces. This two-volume text presents a largely self-contained treatment, comprising not just the major theoretical aspects (Part I) but also exploring links to other areas of mathematics and applications to science and technology (Part II). Following the historical and conceptual genesis, this book (Part I) provides overviews of basic measure theory and functional analysis, with added insight into complex analysis and the theory of distributions. The material is intended for both beginning and advanced graduate students with a thorough knowledge of advanced calculus and linear algebra. Historical notes are provided and topics are illustrated at every stage by examples and exercises, with separate hints and solutions, thus making the exposition useful both as a course

This book will give instructors of probability courses handy material and references for applications to stochastic neuron modeling. Methods and results are presented, but the emphasis is on ques

The book's comprehensive coverage on the application of econometric methods to empirical analysis of economic issues is impressive. It uncovers the missing link between textbooks on economic theory an