Exact Likelihood Inference for Two Exponential Populations Under Joint Progressive Type-II Censoring
By Abbas Rasouli, Narayanaswamy Balakrishnan. 2010
106 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/cd750166a10021982e0f069bd782356d14ac472c
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
- Debasis Kundu
- Narayanaswamy Balakrishnan
- Ahmed R. Shafay
- Shuvashree Mondal
- Yahia Abdel-Aty
- Biswabrata Pradhan
- Gauss Moutinho Cordeiro
- Rameshwar D. Gupta
In Statistics and Probability
- Debasis Kundu
- Narayanaswamy Balakrishnan
- Shuvashree Mondal
- Ahmed R. Shafay
- Yahia Abdel-Aty
- Biswabrata Pradhan
- Gauss Moutinho Cordeiro
- Rameshwar D. Gupta
Citations in the corpus
- Point and Interval Estimation of Weibull Parameters Based on Joint Progressively Censored Data (2017, methodology): “The JPC scheme proposed by Rasouli and Balakrishnan (2010) can be briefly described as follows.”
- Bayesian inference based on a jointly type-II censored sample from two exponential populations (2014, methodology): “[7] Recently, Balakrishnan and Rasouli [8] developed exact likelihood inference for the parameters of two exponential populations under joint type-II censoring.”