Point and Interval Estimation of The Inverse Weibull Distribution Parameters under Random Censoring | ||||
| مجلة الشروق للعلوم التجارية | ||||
| Volume 11, Issue 11, 2019, Page 311-331 PDF (757.06 K) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/sjcs.2019.224488 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Hiba Z. Muhammed; Essam A. Muhammed | ||||
| Abstract | ||||
| The inverse weibull (IW) distribution has many applications in problems related to medical research and life testing. In this paper, point and interval estimation of the IW distribution parameters are considered in presence of random censoring. Maximum likelihood estimation (MLE) is considered for the models unknown parameters. Asymptotic and bootstrap confidence intervals are evaluated for the unknown parameters. Simulation study is carried out to see the performance of the maximum likelihood estimators (MLEs). One real data set has reanalyzed for illustrative purpose | ||||
| Keywords | ||||
| Inverse Weibull Distribution; Maximum Likelihood Estimation; Asymptotic Confidence Interval; Bootstrap Confidence Intervals; Random Censoring Scheme | ||||
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