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Inference In The Log-Logistic Distribution Based On An Adaptive Progressive Type-Ii Censoring Scheme
(Applied Statistics, 2019 , Master Thesis)
The primary aim of this study is to explore the maximum likelihood estimation (MLE) and the Bayesian approach to estimate the parameters of log-logistic model and calculate the approximate confidence interval for the ...
Tdeveloping A Two-Phase Post-Stratified Inverse Sampling To Reduce The Nonresponse Bias. Case Study: Students’ Satisfaction Survey In Qatar University
(Applied Statistics, 2019 , Master Thesis)
This research aims to develop a Two-phase Post-stratified Inverse Sampling (TPIS) to avoid or reduce the bias of nonresponse for students’ satisfaction survey of Qatar university. In the first phase, the students are ...
Inference About The Generalized Exponential Quantiles Based On Progressively Type-Ii Censored Data
(Applied Statistics, 2019 , Master Thesis)
In this study, we are interested in investigating the performance of likelihood inference procedures for the 𝑝𝑡ℎ quantile of the Generalized Exponential distribution based on progressively censored data. The maximum ...