Estimation for the Parameters of Log-Logistic Distribution and the Reliability Function Using Accelerated Life Testing with Type-II Censoring | ||||
| The Egyptian Statistical Journal | ||||
| Article 4, Volume 45, Issue 2, December 2001, Page 163-171 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/esju.2001.313812 | ||||
 View on SCiNiTO | ||||
| Abstract | ||||
| In this paper, we assume that the time to failure has Log-Logistic Distribution (LLD) with two unknown parameters, whose shape parameter is affected by a certain stress through the power rule model. Maximum likelihood estimates for the unknown parameters of the power rule model and the scale parameter of LLD are obtained using type-II censored data. The Newton-Raphson method is used for solving the non-linear normal equations, we estimate the reliability function under normal conditions where the experiments are subjected to type-II censored, a numerical example is given to illustrate the theoretical results. | ||||
| Keywords | ||||
| Accelerated Life Tests; Power Rule Model; Log; Logistic Distribution; Maximum Likelihood Estimation | ||||
|
Statistics Article View: 30 |
||||
