Bayesian inference and life testing plans for generalized exponential distribution
By Debasis Kundu, Biswabrata Pradhan. 2009
120 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/31c99ded059ed0f098cd6f27cfb9a0701f53331b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Sanku Dey
- Sajid Ali
- Najwan Alsadat
- Khalaf S. Sultan
- Tanujit Dey
- Debasis Kundu
- Biswabrata Pradhan
- Rameshwar D. Gupta
Citations in the corpus
- On the Bayesian estimation of the weighted Lindley distribution (2015, methodology): “If one would like to obtain the HPD credible intervals of θ and γ using the MCMC, we refer the interested readers to see, Kundu and Pradhan.”
- Two-Parameter Rayleigh Distribution: Different Methods of Estimation (2014, background): “An important characteristic of the Rayleigh distribution is that its hazard function is an increasing function of time. It means that when the failure times are distributed according to the Rayleigh law, an intense aging of the equipment/item takes place. Estimations, predictions, and inferential is”
- Bayesian and maximum likelihood estimations of the inverse Weibull parameters under progressive type-II censoring (2014, methodology): “Kundu and Pradhan [16] considered the Bayesian inference of the unknown parameters for a two-parameter generalized exponential distribution based on importance sampling technique.”
- On progressively censored generalized inverted exponential distribution (2014, background): “simulation, consistent Bayes estimate and the associated credible interval can be constructed, as in Chen and Shao [11], and Kundu and Pradhan [22].”