Functional Analysis Methods for Reliability Models

Provides solutions for two- and three-dimensional linear models of controlled-release systemsReal-world applications are taken from used to help illustrate the methods in Cartesian, cylindrical and sp

MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models and the analysis of time series.

Industry underestimates the extent to which behaviour at work is influenced by the design of the working environment.Designing for Human Reliability argues that greater awareness of the contribution o

This book is a methodological primer on how historians gather evidence, presume reliability of witnesses, and develop forms of verification in the conduct of analysis and research. It is an introducti

Comprehensively covers new and existing methods for the design and analysis of composites structures with damage present Provides efficient and accurate approaches for analysing structures with holes

Presents a novel approach to conducting meta-analysis using structural equation modeling.Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, s

Systemic Functional Linguistics is a functional model of language inspired by the work of Saussure, Hjelmslev, Whorf, and Firth. SFL was developed by Michael Halliday and his colleagues in the 1960s a

Discover recent powerful advances in the theory, methods, and applications of decision and risk analysisFocusing on recent advances and innovations in the field of decision analysis (DA), Breakthrough

Explaining techniques of multivariate statistical analysis that are widely used in archaeology and archaeological science, Baxter emphasizes the popular methods of principal component analysis, corres

"This text highlights the solutions to the common failures and reliability of equipment in major industries, through an integrated reliability condition monitoring, and maintenance with a technologica

This is an in-depth yet practical guide for Masters students on basic quantitative methods of analysis, covering the foundations through to the analysis.

This is an in-depth yet practical guide for Masters students on basic quantitative methods of analysis, covering the foundations through to the analysis.

This book is an exploration of how knowledge about the reliability of information sources manifests itself in linguistic phenomena and use. It focuses on cooperation in language use and on how conside

This book is an exploration of how knowledge about the reliability of information sources manifests itself in linguistic phenomena and use. It focuses on cooperation in language use and on how conside

This new volume of Methods in Cell Biology looks at methods for lysosomes and lysosomal diseases. Chapters focus upon practical experimental protocols to guide researchers through the analysis of mult

This volume is essential for geneticists, molecular biologists, biochemists, and medical doctors interested in the use of mouse models in cancer research. Recent genome studies, together with refined

Brand-new edition of the essential resource adopted on modules in statistical analysis, statistical methods and quantitative geography worldwide. Now fully integrated with online self-assessment exerc

Brand-new edition of the essential resource adopted on modules in statistical analysis, statistical methods and quantitative geography worldwide. Now fully integrated with online self-assessment exerc

Advances in Quantitative Analysis of Finance and Accounting (New Series) is an annual publication designed to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession.

Learning Scala is an introduction and a guide to getting started with functional programming (FP) development. Written for programmers who are already familiar with object-oriented (OO) development, t

"Researchers in Critical Discourse Analysis (CDA) have often pointed to grammar as a locus of ideology in discourse. This book illustrates the role that grammars as models of language (and image) can

Gibbons examines the water supply problem through five case studies. The problems faced by these regions and the methods suggested to overcome them provide excellent models for the entire United State

A practical, proven approach to failure analysis of wood and wood-based products using a full range of forensic analysis methods In Failure Analysis of Wood and Wood-Based Products an expert in the ar

This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natura

Nowadays 3D Geoinformation is needed for many planning and analysis tasks. For example, 3D city and infrastructure models are paving the way for complex environmental and noise analyzes. 3D geological

For several years, the food industry has been interested in identifying components in foods which have health benefits to be used in the development of functional food and nutraceutical products. Exam

In this textbook, fundamental methods for model-based design of mechatronic systems are presented in a systematic, comprehensive form. The method framework presented here comprises domain-neutral meth

The first treatment of advanced knowledge of electrical sneak circuits and its analysis method in power electronics The work on sneak circuit and its analysis methods for power converters contributes

The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive met

In this monograph the author presents explicit conditions for the exponential, absolute and input-to-state stabilities including solution estimates of certain types of functional differential equation

Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting w

Implementing a novel method for identifying idiolectal co-selections, and taking the UNABOM investigation as a case study, this Pivot evaluates the effectiveness and reliability of using the web for f

Reflecting the major advances that have been made in the field over the past decade, this book provides an overview of current models of biological systems. The focus is on simple quantitative models, highlighting their role in enhancing our understanding of the strategies of gene regulation and dynamics of information transfer along signalling pathways, as well as in unravelling the interplay between function and evolution. The chapters are self-contained, each describing key methods for studying the quantitative aspects of life through the use of physical models. They focus, in particular, on connecting the dynamics of proteins and DNA with strategic decisions on the larger scale of a living cell, using E. coli and phage lambda as key examples. Encompassing fields such as quantitative molecular biology, systems biology and biophysics, this book will be a valuable tool for students from both biological and physical science backgrounds.

Managing the cognitive difficulties experienced in bipolar disorder poses a significant challenge to patients, relatives, researchers and clinicians. This book equips readers with a thorough understanding of these cognitive deficits and, importantly, the usefulness of current treatment approaches, such as remediation, to improve functional recovery. This manual guides readers in the application of the functional remediation programme, providing a collection of materials enabling therapists to run group sessions. The first part focuses on cognitive deficits and their impact on functional recovery. The second part describes the operation of the programme, session by session, with reference to handouts and slides available for download from an accompanying website. Topics covered include memory, attention, and executive functions. The final part describes the efficacy of this programme, particularly the functional improvements seen in participants. An essential resource for psychologists,

The focus of this volume is comprised of the fundamentals, models, and information technologies (IT) methods and tools for disaster prediction and mitigation. A more detailed list of topics includes m

The focus of this volume is comprised of the fundamentals, models, and information technologies (IT) methods and tools for disaster prediction and mitigation. A more detailed list of topics includes m

Understanding Western Society, Second Edition, features a brief, question-drive narrative that models for students the inquiry-based methods used by historians and helps students understand what’s rea

Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must

The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls.

The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls.