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    Now showing items 20-35 of 35

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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 

        Mohammedseman, Eman Abdulmalik (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 ...
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        LINEAR AND BAYESIAN ESTIMATION OF THE PARAMETERS OF THE TYPE II GENERALIZED LOGISTIC DISTRIBUTION BASED ON PROGRESSIVELY TYPE II CENSORED DATA 

        RIMAWI, RANA (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, ...
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        Log-logistic Cox Model for Breast Cancer Partly Interval Censored Data 

        El-Salem, Alaa Ahmed (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 ...
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        NON-DETERMINISTIC MODELING USING QUANTILE REGRESSION 

        AL ABDULLA, AMEENA H. (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 

        AL FAKIH, BATOUL MOHAMAD KAZEM (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), ...
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        ON THE PREFERENCE OF ZERO-INFLATION MODELS WITH THE PRESENCE OF DATA CONTAMINATION 

        ELSOUSY, REEM MOHAMAD RIFAAT (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, ...
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        ON VARIABLE SELECTION WITH THE PRESENCE OF MISSING DATA IN LONGITUDINAL PANEL STUDIES 

        MOHAMED, RADWA M. ISMAIL (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 ...
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        Parameter Estimation and Prediction of Future Failures in the Log-Logistic Distributions Based on Hybrid-Censored Data 

        Abou Ghaida, Wassim R. (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 ...
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        PARAMETRIC AND NONPARAMETRIC PORTMANTEAU TESTS FOR LACK OF FIT IN TIME SERIES MODELS: A COMPARATIVE STUDY 

        SHAIKH, MUHAMMAD ARSHAD (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 ...
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        Phase II Non-parametric and Semi-parametric Profile Monitoring 

        Nassar, Sara Husam (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 ...
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        Proportional Hazard Regression Model Under Partly Interval-Censoring Assumption with Application to Prison Data 

        Abdulla, Shaikha Ahmed (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 ...
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        Reliability analysis of the Stress-Strength model from truncated Pareto distribution based on progressive Type-II censored samples. 

        Ali, Hadeel Mohammed (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 ...
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        Tdeveloping A Two-Phase Post-Stratified Inverse Sampling To Reduce The Nonresponse Bias. Case Study: Students’ Satisfaction Survey In Qatar University 

        Ahmed, Mahmood Ahmed Hassan (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 ...
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        VARIOGRAM MODELING FOR SPATIAL CORRELATION IN STRUCTURAL MRI IMAGES 

        MARA'BEH, SAED (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 ...
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        VOLATILITY ESTIMATION IN MISSING AT RANDOM HIGH-FREQUENCY FINANCIAL TIME SERIES 

        ACHAIBOU, FERIEL (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 ...
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        WEIBULL DISTRIBUTION BASED ON EDUCATION PARTLY INTERVAL CENSORED DATA 

        SAEED, NOORA MOHSIN (2018 , Professional Masters Project)
        The work in this project is concerned with the applying of techniques for the assessment of survival analysis in data that include censored observations. Survival analysis has a lot of achievement in the medical, engineering, ...

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