Search
Now showing items 11-20 of 25
Cumulative exposure lognormal model with hybrid
(Applied Statistics, 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 ...
Proportional Hazard Regression Model Under Partly Interval-Censoring Assumption with Application to Prison Data
(Applied Statistics, 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 ...
Likelihood Inference for Step Stress Partially Accelerated Life Test Model with Type I Progressively Hybrid Censored Data from Generalized Exponential Distribution
(Applied Statistics, 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 ...
GENERALIZING THE POINT BISERIAL TO MEASURE THE ASSOCIATION BETWEEN A SET OF DICHOTOMOUS VARIABLES AND A CONTINUOUS VARIABLE
(Applied Statistics, 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
(Applied Statistics, 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 ...
ON VARIABLE SELECTION WITH THE PRESENCE OF MISSING DATA IN LONGITUDINAL PANEL STUDIES
(Applied Statistics, 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
(Applied Statistics, 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, ...
NON-DETERMINISTIC MODELING USING QUANTILE REGRESSION
(Applied Statistics, 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 ...
PARAMETRIC AND NONPARAMETRIC PORTMANTEAU TESTS FOR LACK OF FIT IN TIME SERIES MODELS: A COMPARATIVE STUDY
(Applied Statistics, 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
(Applied Statistics, 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 ...