Bayesian Inference and Life Testing Plan for the Weibull Distribution in Presence of Progressive Censoring

By Debasis Kundu. Technometrics, 2008

323 citations recorded by the source corpus.

Subfields: Demography, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c6dd8ea57e72b9b845d259cabb0db40ae4b3f590

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Citations in the corpus

Inference and optimal censoring schemes for progressively censored Birnbaum–Saunders distribution (2013, methodology): “A more general criterion as suggested by Kundu (2008) can also be adopted.”
Parameter estimation of the hybrid censored log-normal distribution (2011, background): “[19],Lin et al. [21],Ng et al. [25],ZhangandMeeker[27],BalasooriyaandBalakrishnan[2] andKundu[ 17 ].”
Bayesian estimation and prediction for Weibull model with progressive censoring (2012, methodology): “Therefore, the approach proposed by Kundu [14] cannot be applied completely.”
Weighted exponential distribution: properties and different methods of estimation (2015, unknown): “Independent gamma priors have been used in the Bayesian analysis of the Weibull distribution, see for example, Kundu.”
Point and Interval Estimation of Weibull Parameters Based on Joint Progressively Censored Data (2017, methodology): “It may be treated as an extension of the work of Kundu (2008), where the Bayesian inference of the unknown Weibull parameters for one sample problem was considered, and in this case, the results have been generalized to two-sample problem.”
Bayesian inference and life testing plans for generalized exponential distribution (2009, methodology): “, Rm), based on estimating lnTp, as it was used by Zhang and Meeker [17] and Kundu [9].”
Bayesian analysis of progressively censored competing risks data (2011, methodology): “(21) Now the result follows using Theorem 2 of Kundu (2008).”
Bayesian Inference and prediction or order statistics for a Type II censored Weibull distribution (2012, background): “Here the hyper parameters a > 0, b > 0, and Γ(a) is the gamma function.”
Bayesian and maximum likelihood estimations of the inverse Weibull parameters under progressive type-II censoring (2014, methodology): “Using Lemma 2 of Kundu,[14] it can be shown that the f2(α | D) is log-concave.”