Maximum Likelihood Estimator of Current Status Data under Bernstein Proportional Odds Cure Model

碩士 === 中原大學 === 應用數學研究所 === 102 === In this paper, we use Maximum Likelihood Estimator of Current Status Data under Bernstein Proportion Odds Cure Model to carry out research under Ching-Hung Liu’s Thesis (2012) , using the Weibull distribution survival distribution of time to do, is to use the esti...

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Bibliographic Details
Main Authors: Wen-Chieh Tai, 戴文傑
Other Authors: Yuh-Jenn Wu
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/sdg937
Description
Summary:碩士 === 中原大學 === 應用數學研究所 === 102 === In this paper, we use Maximum Likelihood Estimator of Current Status Data under Bernstein Proportion Odds Cure Model to carry out research under Ching-Hung Liu’s Thesis (2012) , using the Weibull distribution survival distribution of time to do, is to use the estimated parameters maximum likelihood estimator, we use Bernstein polynomials to replace the Weibull distribution, the estimated parameters are also using maximum likelihood estimator. In making the maximum likelihood estimate, because many parameters and we are not fixed, so we will use the Monte Carlo Markov chain (M.C.M.C.) to calculate the maximum likelihood estimator, and the potential to make a distribution function graphic factors, write another basis for the comparison of algorithms and general graphics algorithms that map looks like if found, then use a graphical algorithm which estimates the optimum.