Exact likelihood inference based on Type-I and Type-II hybrid censored samples from the exponential distribution

By A. Childs, B. Chandrasekar, Narayanaswamy Balakrishnan, Debasis Kundu. 2003

354 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ffead3ce60e07a954893fa18ffa7f74e483014d5

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Exact inference for a simple step-stress model from the exponential distribution under time constraint (2009, methodology): “θ2, respectively. Several authors including Chen and Bhattacharyya (1988), Gupta and Kundu (1998), Kundu and Basu (2000), and Childs et al. (2003 ) h ave used this approach to construct exact CI in different contexts.”
Exact Likelihood Inference for Two Exponential Populations Under Joint Progressive Type-II Censoring (2010, neutral): “( 2003 ); Chandrasekar, Childs, and Balakrishnan (2004); Balakrishnan et al.”
Estimating the Parameters of the Generalized Exponential Distribution in Presence of Hybrid Censoring (2009, methodology): “Some simpliflcations of the the exact distribution have been suggested by Childs et al. [ 4 ].”
On hybrid censored Weibull distribution (2007, neutral): “refer to Ebrahimi [10, 11], Jeong, Park and Yum [18] and Childs et al. [ 7 ].”
One- and Two-Sample Bayesian Prediction Intervals Based on Type-II Hybrid Censored Data (2012, methodology): “For this reason, Childs et al. (2003) proposed the Type-II hybrid censoring scheme (Type-II HCS) in which the life-testing experiment gets terminated whenever the later of the two stopping rules is reached.”
Prediction for future failures in Weibull distribution under hybrid censoring (2015, background): “,[9] Kundu,[10] Kundu and Banerjee [11] and the recent review article by Balakrishnan and Kundu [12] on this topic.”
Stochastic monotonicity of the MLE of exponential mean under different censoring schemes (2009, methodology): “In particular, Chen and Bhattacharyya (1988), Childs et al. (2003), and Chandrasekar et al. (2004) derived the maximum likelihood estimator (MLE) of the exponential mean θ as well as its distribution for different censoring schemes, but they did not provide a formal proof that these MLEs are stochas”
Exact likelihood inference based on an unified hybrid censored sample from the exponential distribution (2008, methodology): “[2], we shall assume that Pθ(θ̂ > b) in equation (13) is an increasing function of θ .”
Exact likelihood inference for the exponential distribution under generalized Type‐I and Type‐II hybrid censoring (2004, methodology): “[4] proposed a new HCS, referred to as Type-II hybrid censoring scheme (Type-II HCS), which guarantees a fixed number of failures.”
Statistical analysis of exponential lifetimes under an adaptive Type‐II progressive censoring scheme (2009, background): “Several articles including [5, 8, 9, 12, 15], have used this approach for constructing exact confidence intervals in different contexts.”
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 ).”
On progressive hybrid censored exponential distribution (2012, neutral): “[3], and the references contained therein.”