| dc.contributor.author | Kandza-Tadi, Claudio C. | |
| dc.contributor.author | Odongo, Leo O. | |
| dc.contributor.author | Otieno, Romanus Odhiambo | |
| dc.date.accessioned | 2018-10-30T09:22:24Z | |
| dc.date.accessioned | 2020-02-06T14:01:23Z | |
| dc.date.available | 2018-10-30T09:22:24Z | |
| dc.date.available | 2020-02-06T14:01:23Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://repository.must.ac.ke/handle/123456789/973 | |
| dc.description.abstract | In this study, we consider the parameter estimation of a three-parameter continuous distribution, namely, power Lomax distribution proposed by [7], when the lifetime experiments are under Type-II Progressively Hybrid censoring scheme. Expectation-Maximization algorithm was used to compute the Maximum Likelihood Estimators. Simulation was used
to evaluate the performance of the maximum likelihood estimates in terms of average biases and root mean square errors. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | HIKARI Ltd | en_US |
| dc.subject | Power Lomax distribution, Maximum likelihood estimation, EM algorithm, Type-II progressively hybrid censoring scheme | en_US |
| dc.title | Parameter Estimation of Power Lomax Distribution Based on Type-II Progressively Hybrid Censoring Scheme | en_US |
| dc.type | Article | en_US |
