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Exponential model for breast cancer partly interval censored data via multiple imputation
(Applied Statistics, 2021 , Master Thesis)
The estimation problem for interval-censored data has been investigated by several
authors. The application of conventional methods to interval censored data that has been
considered by Lindsey and Ryan (1998) showed ...
Factors of the Asymmetric Non-Uniform DIF Detection Rate When Using the Alternative Mantel-Haenszel Procedure
(Applied Statistics, 2020 , Master Thesis)
Test-item bias has become an increasingly challenging investigation in statistics and education. A popular method, the Mantel-Haenszel (MH) Test, is used for detecting non-uniform differential item functioning (DIF) but ...
Goodness of Fit Testing for the Log-Logistic distribution Based on Type I Censored Data
(Applied Statistics, 2021 , Master Thesis)
The main aim of this thesis is to investigate the problem of the goodness of fit
test for Log-Logistic distribution based on empirical distribution function under Type
I censored data. The maximum likelihood estimation ...
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 ...
Parameter Estimation and Prediction of Future Failures in the Log-Logistic Distributions Based on Hybrid-Censored Data
(Applied Statistics, 2020 , Master Thesis)
The main purpose of this thesis is to study the prediction of future observations of a
Log-Logistic distribution from Hybrid Censored Samples. We will study parameter
point estimation, interval estimation, different ...
Diagnostic Checking For Linearity in Time Series Models
(Applied Statistics, 2020 , Master Thesis)
In this thesis, I studied the well-known portmanteau tests appearing in the time
series literature. In particular, I interest in reviewing the test statistics that can be used
to check the adequacy of the fitted ...
Phase II Non-parametric and Semi-parametric Profile Monitoring
(Applied Statistics, 2021 , Master Thesis)
The emergence of new technologies, as well as the availability of large
amounts of information related to quality measurements, have shed the light to a new
type of response characteristic called profile. Profiles are ...
Log-logistic Cox Model for Breast Cancer Partly Interval Censored Data
(Applied Statistics, 2021 , Master Thesis)
The research in this study is concerned with implementing techniques in data
which include censored observations for the evaluation of survival analysis. Analysis
of survival research has numerous distinctions in the ...
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 ...