Browsing Mathematics, Statistics & Physics by Publication Date
Now showing items 21-33 of 33
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 ... -
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 ... -
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), ...