Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes
By A. Childs, B. Chandrasekar, Narayanaswamy Balakrishnan. 2008
124 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a048c1441d32c6bf82c722603c3e2b9895717f60
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
In Statistics and Probability
- Ali A. Ismail
- M. S. Panwar
- Narayanaswamy Balakrishnan
- Sanjeev K. Tomer
- Debasis Kundu
- Gauss Moutinho Cordeiro
- Biswabrata Pradhan
- Jorge Navarro
Citations in the corpus
- Estimation procedures for Maxwell distribution under type-I progressive hybrid censoring scheme (2015, background): “[10] derived exact distribution of maximum likelihood estimator (MLE) of parameter for the same distribution.”
- Statistical inference for a step-stress partially-accelerated life test model with an adaptive Type-I progressively hybrid censored data from Weibull distribution (2016, background): “Kundu and Joarder (2006) and Childs et al. (2008) have considered a Type-I progressively hybrid censoring scheme (Type-I PHCS) in the context of life testing experiment is terminated at time min {Ym:m:n, η}; where Ym:m:n is the time of mth failure out of m failures using n tested units and η is a…”
- Statistical Inference of Type-II Progressively Hybrid Censored Data with Weibull Lifetimes (2009, unknown): “( 2008 ) both investigated a progressive hybrid censoring (PHC) scheme, in which the life-testing experiment with progressive censoring scheme ( R 1 ,…, R m ) is terminated at a random time min { Y m : m : n , T }, where T ∈ (0, ∞) and 1 ≤ m ≤ n are fixed in advance, and Y 1”
- Progressive censoring methodology: an appraisal (2007, methodology): “Similarly, in the case of Type-II progressive hybrid censoring scheme, Childs et al. (2007) have shown that the MLE of the exponential mean θ is given by”