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Wiley Weibull Models: 358 (Wiley Series in Probability and Statistics)

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Description

From the Inside Flap A comprehensive perspective on Weibull models The literature on Weibull models is vast, disjointed, and scattered across many different journals. Weibull Models is a comprehensive guide that integrates all the different facets of Weibull models in a single volume.This book will be of great help to practitioners in reliability and other disciplines in the context of modeling data sets using Weibull models. For researchers interested in these modeling techniques, exercises at the end of each chapter define potential topics for future research.Organized into seven distinct parts, Weibull Models:Covers model analysis, parameter estimation, model validation, and applicationServes as both a handbook and a research monograph. As a handbook, it classifies the different models and presents their properties. As a research monograph, it unifies the literature and presents the results in an integrated mannerIntertwines theory and applicationFocuses on model identification prior to model parameter estimationDiscusses the usefulness of the Weibull Probability plot (WPP) in the model selection to model a given data setHighlights the use of Weibull models in reliability theoryFilled with in-depth analysis, Weibull Models pulls together the most relevant information on this topic to give everyone from reliability engineers to applied statisticians involved with reliability and survival analysis a clear look at what Weibull models can offer. Product Description A comprehensive perspective on Weibull models The literature on Weibull models is vast, disjointed, andscattered across many different journals. Weibull Models is acomprehensive guide that integrates all the different facets ofWeibull models in a single volume. This book will be of great help to practitioners in reliabilityand other disciplines in the context of modeling data sets usingWeibull models. For researchers interested in these modelingtechniques, exercises at the end of each chapter define potentialtopics for future research. Organized into seven distinct parts, Weibull Models: * Covers model analysis, parameter estimation, model validation,and application * Serves as both a handbook and a research monograph. As ahandbook, it classifies the different models and presents theirproperties. As a research monograph, it unifies the literature andpresents the results in an integrated manner * Intertwines theory and application * Focuses on model identification prior to model parameterestimation * Discusses the usefulness of the Weibull Probability plot (WPP)in the model selection to model a given data set * Highlights the use of Weibull models in reliability theory Filled with in-depth analysis, Weibull Models pulls together themost relevant information on this topic to give everyone fromreliability engineers to applied statisticians involved withreliability and survival analysis a clear look at what Weibullmodels can offer. Review "...valuable to readers seeking an overview of Weibull modelsand...a valuable contribution to libraries..." (Journalof the American Statistical Association, September 2005) "...may serve as a handbook in research andteaching..." (Zentralblatt Math, Vol.1047, No.22,2004) "The book is generally well written and easy to read. It couldserve as a useful reference to practitioners...andresearchers." (Technometrics, November 2004) "The literature of Weibull models is vast, disjointed, andscattered across many different journals. There are a couple ofbooks devoted solely to the Weibull distribution, but these areoriented toward training and/or consulting purposes. There is nobook that deals with the different Weibull models in an integratedmanner. This book fills that gap." (Mathematical Reviews,Issue 2004h) From the Back Cover A comprehensive perspective on Weibull models The literature on Weibull models is vast, disjointed, and scattered across many different journals. Weibull Models is a comprehensiv

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
16 December 2003
Listed Since
09 February 2007

Barcode

No barcode data available

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