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Generalized Weibull Distributions

Part of the SpringerBriefs in Statistics Book Series

DOI: 10.1007/978-3-642-39106-4

ISBN: 978-3-642-39105-7

Publisher: Springer Berlin Heidelberg - Springer Journals

Oct 16, 2013

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Chapter 1Weibull Distribution

Lai, Chin-Diew

Pages: 1 –21

[In probability theory and statistics, the Weibull distribution is a continuous probability distribution named after Waloddi Weibull who described it in detail in 1951, although it was first identified by Fréchet (1927) and first applied by Rosin and Rammler (1933) to describe the size...
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Chapter 2Generalized Weibull Distributions

Lai, Chin-Diew

Pages: 23 –75

[Since 1970’s, many extensions of the Weibull distribution have been proposed to enhance its capability to fit diverse lifetime data and Murthy et alMurthy et al. (2004) proposes a scheme to classify these distributions.]
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Chapter 3Models Involving Two or More Weibull Distributions

Lai, Chin-Diew

Pages: 77 –95

[In this chapter we discuss several univariate statistical models that are derived from two or more independent Weibull distributions that interact with each other under some governing ‘operations’.]
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Chapter 4Discrete Weibull Distributions and Their Generalizations

Lai, Chin-Diew

Pages: 97 –113

[In lifetime modeling, it is common to treat failure data as being continuous, implying some degree of precision in measurement. Too often in practice, however, failures are either noted at regular inspection intervals, occur in a discrete process or are simply recorded in bins. In life testing...

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