The Art of Progressive Censoring

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106,99 

Applications to Reliability and Quality, Statistics for Industry and Technology

ISBN: 1493950843
ISBN 13: 9781493950843
Autor: Balakrishnan, N/Cramer, Erhard
Verlag: Springer Basel AG
Umfang: xxi, 645 S., 43 s/w Illustr., 4 farbige Illustr., 645 p. 47 illus., 4 illus. in color.
Erscheinungsdatum: 17.09.2016
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert

This monograph offers a thorough and updated guide to the theory and methods of progressive censoring, an area that has experienced tremendous growth in recent years. Progressive censoring, originally proposed in the 1950s, is an efficient method of handling samples from industrial experiments involving lifetimes of units that have either failed or censored in a progressive fashion during the life test, with many practical applications to reliability and quality.Key topics and features: – Data sets from the literature as well as newly simulated data sets are used to illustrate concepts throughout the text Emphasis on reallife applications to life testing, reliability, and quality control Discussion of parametric and nonparametric inference Coverage of experimental design with optimal progressive censoring The Art of Progressive Censoring is a valuable reference for graduate students, researchers, and practitioners in applied statistics, quality control, life testing, and reliability. With its accessible style and concrete examples, the work may also be used as a textbook in advanced undergraduate or beginning graduate courses on censoring or progressive censoring, as well as a supplementary textbook for a course on ordered data.

Beschreibung

This book offers a thorough and updated guide to the theory and methods of progressive censoring, an area that has experienced tremendous growth over the last decade. The theory has developed quite nicely in some special cases having practical applications to reliability and quality. The Art of Progressive Censoring is a valuable reference for graduate students, researchers, and practitioners in applied statistics, quality control, life testing, and reliability. With its accessible style and concrete examples, the work may also be used as a textbook in an advanced undergraduate or a beginning graduate course on censoring or progressive censoring, as well as a supplementary textbook for a course on ordered data.

Herstellerkennzeichnung:


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E-Mail: juergen.hartmann@springer.com

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