Functional Analysis Methods for Reliability Models

This book presents the most recent methods for analyzing and visualizing symbolic data. It generalizes classical methods of exploratory, statistical and graphical data analysis to the case of complex

This long awaited third edition of Phytochemical Methods is, as its predecessors, a key tool for undergraduates, research workers in plant biochemistry, plant taxonomists and any researchers in rel

This book serves well as an introduction into the more theoretical aspects of the use of spline models. It develops a theory and practice for the estimation of functions from noisy data on functional

Contributions to this edition of Computer Methods have been extensively revised and contain much new material-updating the proceedings of a conference held in 1964 at the Joint Center for Urban Studie

Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when cons

Many books on reliability focus on either modeling or statistical analysis and require an extensive background in probability and statistics. Continuing its tradition of excellence as an introductory text for those with limited formal education in the subject, this classroom-tested book introduces the necessary concepts in probability and statistics within the context of their application to reliability. The Third Edition adds brief discussions of the Anderson Darling test, the Cox proportionate hazards model, the Accelerated Failure Time model, and Monte Carlo simulation.Over 80 new end-of-chapter exercises have been added, as well as solutions to all odd-numbered exercises. Moreover, Excel workbooks, available for download, save students from performing numerous tedious calculations and allow them to focus on reliability concepts. Ebeling has created an exceptional text that enables readers to learn how to analyze failure, repair data, and derive appropriate models for reliability an

In the last 20 years, econometric theory on panel data has developed rapidly, particularly for analyzing common behaviors among individuals over time. Meanwhile, the statistical methods employed by ap

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral s

This detailed volume provides thorough protocols describing how to use genetics to study mouse and zebrafish erythropoiesis in whole animal models and for genetically manipulating cultured mouse and h

Quantitative Methods for Second Language Research is an introduction to quantitative data analysis methods used in language assessment and second language learning and assessment research, for those w

This book is intended to read like a handbook for regression methods. It provides a broad survey of both standard and non-standard regression models and topics. Thus, the treatment includes topics tha

There is a resurgence of interest in mental models due to advances in our understanding of how they can be used to help design and due to the development of practical methods to elicit them. This book

Analyzing business models in today's financialized world requires an understanding of strategic management, finance and accounting which can be demanding. This book helps students and managers to thin

Analyzing business models in today's financialized world requires an understanding of strategic management, finance and accounting which can be demanding. This book helps students and managers to thin

Risk assessment and risk analysis are now firmly fixed in the lexicon of biostatisticians and engineers alike. Reliability is the other key element in the mix for smooth-running projects. Statistical

This book addresses several mathematical models from the most relevant class of kp-Schrodinger systems. Both mathematical models and state-of-the-art numerical methods for adequately solving the arisi

This book presents and describes methods for analysis of longitudinal data, with a strong emphasis on the application of these methods to problems in the biomedical and behavioral sciences. This is an

This expert guide to the entire process of data analysis offers non-specialists a user-friendly introduction using real-life examples. It takes readers from hypothesis generation to the techniques inv

From the very basics to linear models, this book provides a complete introduction to statistics, data analysis, and R for bioinformatics research and applications. It covers ANOVA, cluster analysis, v

This book constitutes the refereed proceedings of the International Conference on Modern Probabilistic Methods for Analysis of Telecommunication Networks, Belarusian Winter Workshop in Queueing Theory

The collection covers perspectives on the Internet as a social space; research models for the Internet and the skills, techniques and approaches needed to conduct research in a virtual environment; in

Edited by an internationally renowned expert in the field, this practical handbook covers all important methods for organic surface characterization, including x-ray photoelectron and x-ray absorption

Zar’s Biostatistical Analysis, Fifth Edition, is the ideal book for readers seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw concl

The tools needed to make a better, more informed decision.Decision analysis (DA) is the logic of making a decision using quantitative models of the decider's factual and value judgments. DA is already

This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on s

Provides a description of an aerodynamic design and analysis system for axial flow compressors. This book describes the basic fluid dynamic and thermodynamic principles, empirical models and numerical

This two-volume handbook uniquely brings together information on the key methodologies used in the analysis of agrochemical residues and current best practices, while also giving numerous examples of

Qualitative research (QR) is the method of inquiry that seeks to understand social phenomena within the context of the participants' perspectives and experiences. The research methods of QR are more f

This long-awaited two-volume book examines how the interplay of ideas and actions applied to environmental problems has laid the foundations for global environmental management. It looks at how ideas,

Statistical Shape Analysis involves methods for the geometrical study of random objects where location, rotation and scale information can be removed. The book lays the foundations of the subject disc

Provides a grounding in the experimental techniques applicable to the discipline of biotechnology. The introductory section in the text describes procedures for analysis of inorganic and organic mater