The Weibull distribution : a handbook / Horst Rinne.

By: Rinne, Horst Material type: Text

TextLanguage: English Publication details: Boca Raton : CRC Press, c2009. Description: xxiv, 784 p. : ill. ; 26 cmISBN: 9781420087437 (alk. paper); 1420087436 (alk. paper)Subject(s): Weibull distribution -- Handbooks, manuals, etcDDC classification: 519.24 LOC classification: QA273.6 | .R56 2009Online resources: WorldCat details | E-book Fulltext

Contents:

TOC Gensis, theory, and description -- History and meaning of the Weibull distribution -- Definition and properties of the Weibull distribution -- Related distributions -- Weibull processes and Weibull renewal theory -- Order statistics and related variables -- Characterizations -- Weibull applications and aids in doing Weibull analysis -- Collecting life data -- Parameter estimation : graphical approaches -- Parameter estimation : least squares and linear approaches -- Parameter estimation : maximum likelihood approaches -- Parameter estimation : methods of moments -- Parameter estimation : more classical approaches and comparisons -- Parameter estimation : Bayesian approaches -- Parameter estimation : further approaches -- Parameter estimation in accelerated life testing -- Parameter estimation for mixed Weibull models -- Inference of Weibull processes -- Estimation of percentiles and reliability including tolerance limits -- Prediction of future random quantities -- Weibull parameter testing -- Weibull goodness-of-fit testing and related problems.

Summary: Using inferential procedures for estimating, testing, forecasting, and simulating data, this book shows how to solve statistical life science and engineering problems. It chronicles the development of the Weibull Distribution in Statistical Theory and Applied Statistics. It focuses on its origin, statistical properties, and related distributions.

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	519.24 RIW 2009 (Browse shelf(Opens below))		Not for loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	519.24 RIW 2009 (Browse shelf(Opens below))	C-1	Not For Loan	27395
Text	Dr. S. R. Lasker Library, EWU Circulation Section	Non-fiction	519.24 RIW 2009 (Browse shelf(Opens below))	C-2	Available	28132

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Previous	519.24 BAC 2009 Continuous bivariate distributions /	519.24 EXP 1995 The exponential distribution :	519.24 PAH 2006 Handbook of exponential and related distributions for engineers and scientists /	519.24 RIW 2009 The Weibull distribution :	519.28 DAB 1992 Business statistics :	519.287 BAM 2002 Martingales and Markov chains :	519.4 BAN 1999 Numerical methods /	Next

"A Chapman & Hall book."

Includes bibliographical references and index.

TOC Gensis, theory, and description --
History and meaning of the Weibull distribution --
Definition and properties of the Weibull distribution --
Related distributions --
Weibull processes and Weibull renewal theory --
Order statistics and related variables --
Characterizations --
Weibull applications and aids in doing Weibull analysis --
Collecting life data --
Parameter estimation : graphical approaches --
Parameter estimation : least squares and linear approaches --
Parameter estimation : maximum likelihood approaches --
Parameter estimation : methods of moments --
Parameter estimation : more classical approaches and comparisons --
Parameter estimation : Bayesian approaches --
Parameter estimation : further approaches --
Parameter estimation in accelerated life testing --
Parameter estimation for mixed Weibull models --
Inference of Weibull processes --
Estimation of percentiles and reliability including tolerance limits --
Prediction of future random quantities --
Weibull parameter testing --
Weibull goodness-of-fit testing and related problems.

Using inferential procedures for estimating, testing, forecasting, and simulating data, this book shows how to solve statistical life science and engineering problems. It chronicles the development of the Weibull Distribution in Statistical Theory and Applied Statistics. It focuses on its origin, statistical properties, and related distributions.

Sagar Shahanawaz

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