Bootstrap confidence intervals for the mode of log-logistic hazard function

Hasan, Siti Normah (2009) Bootstrap confidence intervals for the mode of log-logistic hazard function. Masters thesis, Universiti Putra Malaysia..


Download (5MB) | Preview


By considering hazard function for log-logistic distribution with parameter Q > 1 , it is important to perform inferences about the mode of the hazard function with unimodal hazard function. The parameters of this distribution are estimated by maximum likelihood method and they are used to estimate other quantities of interest such as mode of lifetime data and percentile. From the asymptotical normality of the maximum likelihood estimator, confidence intervals can be obtained. However, these results might not be very accurate for the small sample size or large proportion of censored data. In this project, the confidence interval for the mode of the hazard function obtained by asymptotic confidence interval is going to be compared with boatstrap methods. The performance of the procedures is evaluated by simulation with different sample sizes and proportion of censored data

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Depositing User: Mrs. Sabarina Che Mat
Date Deposited: 03 Feb 2022 02:14
Last Modified: 03 Feb 2022 02:14

Actions (login required)

View Item View Item