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Estimation and reconstruction based on left censored data from Pareto model
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نویسنده
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Asgharzadeh A. ,Mohammadpour M. ,Ganji Z.M
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منبع
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journal of the iranian statistical society - 2014 - دوره : 13 - شماره : 2 - صفحه:151 -175
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چکیده
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In this paper,based on a left censored data from the twoparameter pareto distribution,maximum likelihood and bayes estimators for the two unknown parameters are obtained. the problem of reconstruction of the past failure times,either point or interval,in the left-censored set-up,is also considered from bayesian and non-bayesian approaches. two numerical examples and a monte carlo simulation study are given for illustrative purposes.
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کلیدواژه
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Bayes estimator; Best unbiased reconstructor; Conditional median reconstructor; Highest conditional density; Left censoring; Maximum likelihood reconstructor; Reconstruction interval
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آدرس
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university of mazandaran, faculty of mathematical sciences, department of statistics, ایران, university of mazandaran, faculty of mathematical sciences, department of statistics, ایران, university of mazandaran, faculty of mathematical sciences, department of statistics, ایران
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Authors
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