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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
(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 ...
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 ...
Accelerated failure time for Weibull distribution based partly interval censored data
(Applied Statistics, 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 ...
Phase II Non-parametric and Semi-parametric Profile Monitoring
(Applied Statistics, 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 ...
Log-logistic Cox Model for Breast Cancer Partly Interval Censored Data
(Applied Statistics, 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 ...
Goodness of Fit Testing for the Log-Logistic distribution Based on Type I Censored Data
(Applied Statistics, 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
(Applied Statistics, 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 ...