Bayesian life test planning for the Weibull distribution with given shape parameter

By Yao Zhang, William Q. Meeker. 2005

75 citations recorded by the source corpus.

Subfields: Demography, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/cb8cd9d77faa7f7f275e4b64249b04e68cc808b6

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In Demography

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Citations in the corpus

Bayesian Inference and Life Testing Plan for the Weibull Distribution in Presence of Progressive Censoring (2008, methodology): “When the shape parameter is known in the type II censored data, Zhang and Meeker (2005) found an optimum design based on two criteria: a criterion based on large-sample approximate posterior precision factor and a criterion based on an exact relative posterior credibility interval length.”
Bayesian analysis of progressively censored competing risks data (2011, methodology): “Zhang and Meeker (2005) and Ng et al. (2004) used p = 0.95 and 0.99, but other values of p also can be chosen.”
On progressively censored generalized exponential distribution (2009, methodology): “Using W (p) as the point mass at any particular point, the information measures proposed by Zhang and Meeker [26] or Ng, Chan and Balakrishnan [21] can be obtained.”
Parameter estimation of the hybrid censored log-normal distribution (2011, background): “Some of the references for choosing optimal censoring schemes in different problems can be found in 21 22 23 24 25 26 .”
Inference and optimal censoring schemes for progressively censored Birnbaum–Saunders distribution (2013, methodology): “By the proper choice of the weight function w(·), the criteria of Zhang and Meeker (2005) and Ng et al. (2004) can be obtained as special cases.”
On hybrid censored Weibull distribution (2007, methodology): “Various approximate confidence intervals along the line of Jeng and Meeker [17] can be constructed.”
Bayesian inference and life testing plans for generalized exponential distribution (2009, methodology): “To avoid this problem, using the ideas of Zhang and Meeker [17] and Kundu [9], in the next subsection we propose two different criteria.”