Browsing Mathematics, Statistics & Physics by Type "Master Thesis"
Now showing items 1-20 of 27
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Assessment and Prediction of Body Fat Composition Using A Variety of Machine Learning Algorithms
(2023 , Master Thesis)Body composition is critical for health outcomes and has been researched in various populations and conditions like obesity, diabetes, and many more. Qatar Biobank collected anthropometric and biomedical data from individuals ... -
COMPETING RISK MODELS IN PRESENCE OF PROGRESSIVELY TYPE-II CENSORED DATA FOR DAGUM DISTRIBUTION
(2024 , Master Thesis)In the survival time analysis, there could be more than one cause of failure for an individual or an item. Usually, researchers are interested in survival times under a certain cause of failure, considering the rest of the ... -
COMPETING RISKS MODEL BASED ON FINE AND GRAY IN PRESENCE OF INTERVAL CENSORED DATA
(2022 , Master Thesis)Generally, survival analysis is a significant aspect of statistics that helps in anticipating possible outcomes in the various phenomena of study. A competing risk model is widely used in survival analysis since it not ... -
Cumulative exposure lognormal model with hybrid
(2021 , Master Thesis)This research aims to analyze data coming from step stress life testing experiments that are commonly used to make inferences on the reliability of products and machines. Customers expect a reliable product that can ... -
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 ... -
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 ... -
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 ... -
GENERALIZING THE POINT BISERIAL TO MEASURE THE ASSOCIATION BETWEEN A SET OF DICHOTOMOUS VARIABLES AND A CONTINUOUS VARIABLE
(2022 , Master Thesis)Exploring the statistical association between more than two variables requires utilizing a proper technique/test along with meeting its required assumptions. Measures of correlation are used to explain such associations ... -
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 ... -
IMPLEMENTATION OF MACHINE LEARNING ALGORITHMS FOR CLASSIFICATION OF BONE MINERAL DENSITY TYPES BASED ON QATAR BIOBANK DATA
(2023 , Master Thesis)Bone Mineral Density (BMD) test measures the amount of calcium and other minerals in specific areas of bone. Low BMD is a well-known problem and results in bone fractures in millions of people around the world. BMD can be ... -
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 ... -
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 ... -
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 ... -
Likelihood Inference for Step Stress Partially Accelerated Life Test Model with Type I Progressively Hybrid Censored Data from Generalized Exponential Distribution
(2021 , Master Thesis)This thesis considers the statistical inference on the generalized exponential distribution parameters in presence of progressive Type-I censoring under partially accelerated life test. The maximum likelihood method ... -
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, ... -
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 ... -
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 THE GAUSSIAN PROCESS FOR STATIONARY AND NON-STATIONARY TIME SERIES PREDICTION FOR THE QATAR STOCK MARKET
(2024 , Master Thesis)This research adopts a Gaussian prediction model for non-stationary time series. Then, we discuss four transformation techniques: Generalized Optimal Wavelet Decomposition Algorithm (GOWDA), Hilbert Huang transform (HHT), ... -
ON THE PREFERENCE OF ZERO-INFLATION MODELS WITH THE PRESENCE OF DATA CONTAMINATION
(2023 , Master Thesis)Nowadays, data has become a big concern for researchers to solve problems or improve a lifestyle. It is not odd that different data sources generate data with different characters. In fields such as engineering, epidemiology, ... -
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 ...
