The Bayesian analysis of reliability of zero-failure data

Jin, Shaohua; Lü, Jian; Yan-ping, Wan; Sun, Shiwen; Xiuyin, Chen

doi:10.1049/cp.2012.0692

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Basic Theory Of Mixed Weibull Distribution1

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2013

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“…Assumed that a random variable X is from a population mixed by m independent sub-populations (m components), and each sub-population can be described as the Weibull distribution, then this overall popuolation can be expressed as Eq. 1 [8].…”

Section: Basic Theory Of Mixed Weibull Distributionmentioning

confidence: 99%

Study on the Characterization of Cotton Fiber Length Distribution

Kuang

Yang

2013

AMR

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In order to characterize cotton fiber length distribution, the probability density function with parameters were used to describe the fiber length frequency histograms. In this paper, four cotton fiber samples (bale, carded sliver, combed sliver and finisher sliver) were selected, and the fiber histograms by weight were measured by USTER AFIS Pro. Two- and three-component mixed Weibull distributions were adopted by us to fit these histograms, and the relevant fiber length measures were calculated. The results showed that mixed model could well describe the entire fiber length distribution of different cotton fiber samples, and two-component mixed Weibull distribution, rather than three-component one, fitted these histograms better.

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Section: Basic Theory Of Mixed Weibull Distributionmentioning

confidence: 99%