On hybrid censored Weibull distribution

By Debasis Kundu. 2007

162 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/08e4b24eea931b8ee13417760835e3c132d0ca5f

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In Global and Planetary Change

In Statistics and Probability

Citations in the corpus

Estimating the Parameters of the Generalized Exponential Distribution in Presence of Hybrid Censoring (2009, background): “For some of the related references, the readers are referred to Ebrahimi (1990, 1992), Jeong et al. (1996), Kundu (2007), Banerjee and Kundu (2008), and the references cited therein.”
Parameter estimation of the hybrid censored log-normal distribution (2011, methodology): “Following their approach, Gupta and Kundu [27], see Kundu [26] also, proposed a more general information measure I (n, R, T ) = [∫ 1 0 V ((n, R, T )p) dW(p) ]−1 , (15) where V ((n, R, T )p) denotes the asymptotic variance of the 100pth quantile point, obtained using the censoring scheme (n, R, T ) a”
One- and Two-Sample Bayesian Prediction Intervals Based on Type-II Hybrid Censored Data (2012, methodology): “Gupta and Kundu (1998) and Kundu (2007) derived Bayes estimates and the corresponding highest posterior density credible intervals for the unknown parameters of exponential and Weibull distributions based on Type-I hybrid censored data.”
On progressively censored generalized exponential distribution (2009, background): “(2004), Kundu (2007), Wang and Yu (2007), and the references cited there.”
Statistical Inference of Type-II Progressively Hybrid Censored Data with Weibull Lifetimes (2009, background): “Many articles have considered a hybrid censoring scheme, which is a mixture of Type-I and Type-II censoring schemes, and the related statistical inference (see, for example, Childs et al, 2003 ; Gupta and Kundu, 1988 ; Kundu, 2007 ).”
Inference on unknown parameters of a Burr distribution under hybrid censoring (2013, methodology): “9), we follow the method used in Kundu and Pradhan (2009). First, we evaluate β(k+1) by solving the fixed point type equation h(β) = β (2.”