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Bayesian estimation of exponentiated pareto distribution
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نویسنده
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abbas k. ,arshad i.a. ,hussain z. ,khan k.s.
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منبع
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pakistan journal of statistics - 2016 - دوره : 32 - شماره : 5 - صفحه:349 -370
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چکیده
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This paper develops bayesian estimators of two unknown parameters of exponentiated pareto distribution under various loss functions. bayesian estimators cannot be obtained in closed forms. lindley's approximation is suggested to compute the approximate bayesian estimates. bayesian estimates are compared with their maximum likelihood counterparts via monte carlo simulation. a real data is analyzed for illustrative purposes. © 2016 pakistan journal of statistics.
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کلیدواژه
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Bayesian estimators; Exponentiated pareto distribution; General entropy loss function; Lindley's approximation; LINEX loss function; Maximum Likelihood Estimators; Monte Carlo simulation; Precautionary loss function; Squared error loss function
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آدرس
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department of statistics,university of azad jammu and kashmir,muzaffarabad, Pakistan, department of statistics,allama iqbal open university,islamabad, Pakistan, research centre for modeling and simulation,national university of sciences and technology,islamabad, Pakistan, department of mathematics and statistics,international islamic university,islamabad, Pakistan
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Authors
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