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Weibull Models

2004-01-28 Mathematics
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Release : 2004-01-28
Genre : Mathematics
Kind : eBook
Book Rating : 278/5 ( reviews)

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Book Synopsis Weibull Models by : D. N. Prabhakar Murthy

Download or read book Weibull Models written by D. N. Prabhakar Murthy. This book was released on 2004-01-28. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Using the Weibull Distribution

2012-08-06 Technology & Engineering
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Release : 2012-08-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 983/5 ( reviews)

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Book Synopsis Using the Weibull Distribution by : John I. McCool

Download or read book Using the Weibull Distribution written by John I. McCool. This book was released on 2012-08-06. Available in PDF, EPUB and Kindle. Book excerpt: Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature on the topic, introducing a self-contained presentation of the probabilistic basis for the methodology while providing powerful techniques for extracting information from data. The author explains the use of the Weibull distribution and its statistical and probabilistic basis, providing a wealth of material that is not available in the current literature. The book begins by outlining the fundamental probability and statistical concepts that serve as a foundation for subsequent topics of coverage, including: • Optimum burn-in, age and block replacement, warranties and renewal theory • Exact inference in Weibull regression • Goodness of fit testing and distinguishing the Weibull from the lognormal • Inference for the Three Parameter Weibull Throughout the book, a wealth of real-world examples showcases the discussed topics and each chapter concludes with a set of exercises, allowing readers to test their understanding of the presented material. In addition, a related website features the author's own software for implementing the discussed analyses along with a set of modules written in Mathcad®, and additional graphical interface software for performing simulations. With its numerous hands-on examples, exercises, and software applications, Using the Weibull Distribution is an excellent book for courses on quality control and reliability engineering at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for engineers, scientists, and business analysts who gather and interpret data that follows the Weibull distribution

The Weibull Distribution

2008-11-20 Business & Economics
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Release : 2008-11-20
Genre : Business & Economics
Kind : eBook
Book Rating : 444/5 ( reviews)

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Book Synopsis The Weibull Distribution by : Horst Rinne

Download or read book The Weibull Distribution written by Horst Rinne. This book was released on 2008-11-20. Available in PDF, EPUB and Kindle. Book excerpt: The Most Comprehensive Book on the SubjectChronicles the Development of the Weibull Distribution in Statistical Theory and Applied StatisticsExploring one of the most important distributions in statistics, The Weibull Distribution: A Handbook focuses on its origin, statistical properties, and related distributions. The book also presents various ap

The New Weibull Handbook

1996 Technology & Engineering
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Release : 1996
Genre : Technology & Engineering
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis The New Weibull Handbook by : Robert B. Abernethy

Download or read book The New Weibull Handbook written by Robert B. Abernethy. This book was released on 1996. Available in PDF, EPUB and Kindle. Book excerpt: This handbook will provide an understanding of standard and advanced Weibull and Log Normal techniques originally developed for failure analysis.

Bayesian Survival Analysis

2013-03-09 Medical
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Release : 2013-03-09
Genre : Medical
Kind : eBook
Book Rating : 476/5 ( reviews)

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Book Synopsis Bayesian Survival Analysis by : Joseph G. Ibrahim

Download or read book Bayesian Survival Analysis written by Joseph G. Ibrahim. This book was released on 2013-03-09. Available in PDF, EPUB and Kindle. Book excerpt: Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.

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