Parameter estimations with gamma distribution based on progressive type- I interval censoring

This paper discusses the maximum likelihood estimator and moment estimator for the two-parameter gamma distribution based on progressive type-I interval censored sample. We obtained the maximum likelihood estimator and moment estimator using the EM algorithm and numerical method, respectively. We ma...

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Bibliographic Details
Published in2011 IEEE International Conference on Computer Science and Automation Engineering Vol. 1; pp. 449 - 453
Main Authors Peng Xiuyun, Yan Zaizai
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
EM algorithm
Equations
Gamma distribution
Maximum likelihood estimation
Maximum likelihood estimator
Moment estimator
Moment methods
Shape
Simulation
Weibull distribution
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Summary:This paper discusses the maximum likelihood estimator and moment estimator for the two-parameter gamma distribution based on progressive type-I interval censored sample. We obtained the maximum likelihood estimator and moment estimator using the EM algorithm and numerical method, respectively. We made comparisons these estimations using a Monte Carlo simulation in terms of relative errors and mean squared errors.
ISBN:9781424487271
1424487277
DOI:10.1109/CSAE.2011.5953259