Browsing Mathematics, Statistics & Physics by Type "Master Thesis"
Now showing items 21-27 of 27
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...