The EM Algorithm of Parameter Estimation of Weibull Distribution under Type-I Censoring Sample
Shen Pei-ping
Abstract
Shen Pei-ping
Abstract
The paper deals with Type-I Censoring sample by EM algorithm,in which some information is usually neglected.The study has got the iterative solution of the parameter of Weibull distribution.Moreover,a comparison of EM algorithm and maximum likelihood estimation is made.It is a clear result that the EM algorithm is superior to maximum likelihood estimation.
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The paper deals with Type-I Censoring sample by EM algorithm,in which some information is usually neglected.The study has got the iterative solution of the parameter of Weibull distribution.Moreover,a comparison of EM algorithm and maximum likelihood estimation is made.It is a clear result that the EM algorithm is superior to maximum likelihood estimation.
Key concepts: Censoring (clinical trials), Weibull distribution, Maximum likelihood, Mathematics, Expectation–maximization algorithm, Statistics, Estimation theory, Exponentiated Weibull distribution