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Information Journal Paper

Title

BAYESIAN AND NON-BAYESIAN ESTIMATION OF STRESS–STRENGTH MODEL FOR PARETO TYPE I DISTRIBUTION

Pages

  335-342

Keywords

MAXIMUM LIKELIHOOD ESTIMATOR (MLE) 
UNIFORMLY MINIMUM VARIANCE UNBIASED ESTIMATOR (UMVUE) 

Abstract

 This article examines statistical inference for R= P(Y<X) where X and Y are independent but not identically distributed Pareto of the first kind (Pareto (I)) random variables with same scale parameter but different shape parameters. The Maximum likelihood, uniformly minimum variance unbiased and Bayes estimators with Gamma prior are used for this purpose. Simulation studies which compare the estimators are presented. Moreover, sensitivity of Bayes estimator to the prior parameters is considered.

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    Cite

    APA: Copy

    SHAWKY, A.I., & AL GASHGARI, F.H.. (2013). BAYESIAN AND NON-BAYESIAN ESTIMATION OF STRESS–STRENGTH MODEL FOR PARETO TYPE I DISTRIBUTION. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A- SCIENCE, 37(A3 (SPECIAL ISSUE-MATHEMATICS)), 335-342. SID. https://sid.ir/paper/618025/en

    Vancouver: Copy

    SHAWKY A.I., AL GASHGARI F.H.. BAYESIAN AND NON-BAYESIAN ESTIMATION OF STRESS–STRENGTH MODEL FOR PARETO TYPE I DISTRIBUTION. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A- SCIENCE[Internet]. 2013;37(A3 (SPECIAL ISSUE-MATHEMATICS)):335-342. Available from: https://sid.ir/paper/618025/en

    IEEE: Copy

    A.I. SHAWKY, and F.H. AL GASHGARI, “BAYESIAN AND NON-BAYESIAN ESTIMATION OF STRESS–STRENGTH MODEL FOR PARETO TYPE I DISTRIBUTION,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A- SCIENCE, vol. 37, no. A3 (SPECIAL ISSUE-MATHEMATICS), pp. 335–342, 2013, [Online]. Available: https://sid.ir/paper/618025/en

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