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السجلات المعروضة 1 -- 20 من 35
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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 ... -
Accelerated failure time for Weibull distribution based partly interval censored data
(2021 , Professional Masters Project)In this project, the performance of maximum likelihood estimators of the parameters of Accelerated Failure Time (AFT) regression model based on Weibull distribution with simple imputations methods under Partly-Interval ... -
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 ... -
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 ... -
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, ... -
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 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 ... -
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 ... -
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 ... -
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 ...
