|
|
 |
| |
|
|
|
Bayes Inference for the Weibull-Geometric Distribution based on Progressive Hybrid Censored Data |
|
|
|
PP: 1351-1357 |
|
|
|
doi:10.18576/isl/110504
|
|
|
|
Author(s) |
|
|
|
Mohamed Mousa,
Zeinhum Jaheen,
Sara Ali,
|
|
|
|
Abstract |
|
|
| The challenge of estimating the parameters of the Weibull-Geometric distribution using
progressively type-I hybrid censored data is addressed in this
study. For this, the maximum likelihood and Bayes methods of
estimation are applied. The Bayes estimates are calculated using
the Markov Chain Monte Carlo (MCMC) method. Through a Monte Carlo
simulation investigation, the Bayes estimates of the parameters
under two alternative loss functions are investigated and compared
to their corresponding maximum likelihood estimates. For
illustration, a practical set of data is used. |
|
|
|
|
|
|
|
