Browsing Mathematics, Statistics & Physics by Publication Date
Now showing items 1-20 of 33
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PARAMETRIC AND NONPARAMETRIC PORTMANTEAU TESTS FOR LACK OF FIT IN TIME SERIES MODELS: A COMPARATIVE STUDY
(06-2 , Master Thesis)Several diagnostic tests for the lack of fit time series models have been introduced using parametric and nonparametric portmanteau tests. Some tests have been proposed based on the asymptotic distributions. Others are ... -
IMPROVED INFERENCE FOR THE SCALE PARAMETER IN THE LOMAX DISTRIBUTION BASED ON ADJUSTED PROFILE LIKELIHOOD FUNCTIONS
(06-2 , Master Thesis)In this thesis, we consider improving maximum likelihood inference for the scale parameter of the Lomax distribution. The improvement is based on using modification to the maximum likelihood estimator based on Barndorff-Nielsen's ... -
VARIOGRAM MODELING FOR SPATIAL CORRELATION IN STRUCTURAL MRI IMAGES
(06-2 , Master Thesis)In recent years neuroimaging techniques growth help us to understand the working of the human brain by using structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI). Structural MRIs ... -
NON-DETERMINISTIC MODELING USING QUANTILE REGRESSION
(06-2 , Master Thesis)In this thesis, we utilize quantile regression to model the conditional quantile of the dependent variable given independent variables to capture more details about the conditional distribution. In addition, we apply the ... -
ON VARIABLE SELECTION WITH THE PRESENCE OF MISSING DATA IN LONGITUDINAL PANEL STUDIES
(06-2 , Master Thesis)Longitudinal data are valuable in various disciplines because they provide helpful developmental patterns over time. However, frequently, it is challenging to have a high dimension of covariates and ubiquitous missing ... -
LINEAR AND BAYESIAN ESTIMATION OF THE PARAMETERS OF THE TYPE II GENERALIZED LOGISTIC DISTRIBUTION BASED ON PROGRESSIVELY TYPE II CENSORED DATA
(06-2 , Master Thesis)Generalized distributions have become widely used in applications recently. They are very flexible in data analysis, especially with skewed models that are important and occur frequently in many applications. In particular, ... -
WEIBULL DISTRIBUTION BASED ON EDUCATION PARTLY INTERVAL CENSORED DATA
(2018 , Professional Masters Project)The work in this project is concerned with the applying of techniques for the assessment of survival analysis in data that include censored observations. Survival analysis has a lot of achievement in the medical, engineering, ... -
Tdeveloping A Two-Phase Post-Stratified Inverse Sampling To Reduce The Nonresponse Bias. Case Study: Students’ Satisfaction Survey In Qatar University
(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 In The Log-Logistic Distribution Based On An Adaptive Progressive Type-Ii Censoring Scheme
(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 ... -
Inference About The Generalized Exponential Quantiles Based On Progressively Type-Ii Censored Data
(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 ... -
Factors of the Asymmetric Non-Uniform DIF Detection Rate When Using the Alternative Mantel-Haenszel Procedure
(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 ... -
Exact Optimal Sample Allocation for Establishments having More Than Ten Employees in Qatar
(2020 , Professional Masters Project)The primary aim of this study is to select a stratified random sampling with three different techniques which is optimal allocation, proportional allocation and the new method is exact optimal allocation which is a great ... -
Proportional Hazard Regression Model Under Partly Interval-Censoring Assumption with Application to Prison Data
(2020 , Master Thesis)In this thesis the analysis of well-known model in survival study that is Cox proportional hazard regression model via prison Partly Interval Censored (PIC) data is used. The maximum likelihood estimate was considered ... -
Exploring the Students and Faculty Members Attitudes and Awareness about the Use Of E-Textbooks At Qatar University
(2020 , Professional Masters Project)Digitalization plays a big role in world and has an effect on the tools of learning. In 2013, e-Textbooks became commonly used in most science core curricula and some literary curricula at Qatar University. However, ... -
Parameter Estimation and Prediction of Future Failures in the Log-Logistic Distributions Based on Hybrid-Censored Data
(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
(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
(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
(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 ... -
Goodness of Fit Testing for the Log-Logistic distribution Based on Type I Censored Data
(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 ... -
Exponential model for breast cancer partly interval censored data via multiple imputation
(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 ...
