Mathematics, Statistics & Physics
Recent Submissions
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A COMPARISON STUDY: EVALUATING SOME STATISTICAL AND AI TECHNIQUES FOR MEDICAL APPLICATION
(2025 , Master Thesis)Analyzing medical data using artificial intelligence and statistical techniques may contribute to improving healthcare by helping to accurately identify important and irrelevant features in data collection and disease ... -
IMAGE MONITORING USING MULTIVARIATE CONTROL CHARTS
(2025 , Master Thesis)This study focuses on developing a Multivariate Hotelling's T2 control chart to monitor image data. Dimensionality reduction of the image data is achieved through Principal Component Analysis (PCA) and Sparse Principal ... -
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), ... -
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 ... -
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 ... -
VOLATILITY ESTIMATION IN MISSING AT RANDOM HIGH-FREQUENCY FINANCIAL TIME SERIES
(2023 , Master Thesis)More than 15 years ago, the capital markets have seen significant development, introducing high-frequency trading and a shift of market towards high-frequency and algorithm trading. It was always believed that high-frequency ... -
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, ... -
Reliability analysis of the Stress-Strength model from truncated Pareto distribution based on progressive Type-II censored samples.
(2023 , Professional Masters Project)In this project, we studied the stress strength reliability (SSR) models. The stress-strength model has many applications in engineering problems, for example the strength of a building being subjected to earthquake, the ... -
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 ... -
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, ... -
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 ... -
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 ... -
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 ... -
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 ... -
FACTORS AFFECTING ACADEMIC DISCIPLINE SELECTION AND ACADEMIC PERFORMANCE OF 12TH GRADE STUDENTS IN QATAR
(2022 , Professional Masters Project)COVID-19 pandemic has led to the lockdown of major cities worldwide, which caused the early closure of schools and educational institutions in the towns affected. This pandemic had a negative impact on the performance of ... -
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 ... -
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 ... -
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 ...
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