Name
Title | ||
|---|---|---|
Estimation for the generalized Gompertz distribution of hybrid progressive censored samples. |
Abstract | ||
|---|---|---|
In this paper, Bayesian and non Bayesian methods are adapted to determined interval and point estimations under Type-I hybrid Progressively censored for generalized Gompertz distribution. The special case from MCMC adjust Metropolis-Hastings within Gibbs sampling in the case Bayesian procedure is used to solve the double integrations. Numerical examples including generation data sets are shown to make a conclusion on methods estimations used here. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3233/JIFS-179555 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | DocType | Volume |
Type-I hybrid Progressive,Bayesian and Non-Bayesian estimations,Markov chain Mont-Carlo,generalized Gompertz distribution | Journal | 38 |
Issue | ISSN | Citations |
SP3.0 | 1064-1246 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sharifah Alrajhi | 1 | 0 | 0.34 |
| Abdullah M. Almarashi | 2 | 0 | 4.73 |
| Ali Algarni | 3 | 0 | 1.35 |
| M. M. Amein | 4 | 0 | 0.34 |