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Title

TESTING STATISTICAL HYPOTHESIS OF EXPONENTIAL POPULATIONS WITH MULTIPLY SEQUENTIAL ORDER STATISTICS

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Abstract

 SEQUENTIAL ORDER STATISTICS (SOS) COMING FROM NON-HOMOGENEOUS EXPONENTIAL DISTRIBUTIONS ARE CONSIDERED IN THIS PAPER. THE GENERALIZED LIKELIHOOD RATIO (GLRT) AND THE BAYESIAN TESTS ARE DERIVED FOR TESTING HOMOGENEITY OF THE EXPONENTIAL POPULATIONS.IT IS SHOWN THAT THE GLRT IN THIS CASE IS ALSO SCALE INVARIANT. THE MAXIMUM LIKELIHOOD AND THE BAYESIAN ESTIMATES OF PARAMETERS ARE DERIVED ON THE BASIS OF OBSERVED SOS SAMPLES. EXPLICIT EXPRESSION FOR SOS-BASED BAYES FACTOR (BF) ARE DERIVED.

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  • Cite

    APA: Copy

    Hashempour, Majid, & Doostparast, Mahdi. (2015). TESTING STATISTICAL HYPOTHESIS OF EXPONENTIAL POPULATIONS WITH MULTIPLY SEQUENTIAL ORDER STATISTICS. ANNUAL IRANIAN MATHEMATICS CONFERENCE. SID. https://sid.ir/paper/921965/en

    Vancouver: Copy

    Hashempour Majid, Doostparast Mahdi. TESTING STATISTICAL HYPOTHESIS OF EXPONENTIAL POPULATIONS WITH MULTIPLY SEQUENTIAL ORDER STATISTICS. 2015. Available from: https://sid.ir/paper/921965/en

    IEEE: Copy

    Majid Hashempour, and Mahdi Doostparast, “TESTING STATISTICAL HYPOTHESIS OF EXPONENTIAL POPULATIONS WITH MULTIPLY SEQUENTIAL ORDER STATISTICS,” presented at the ANNUAL IRANIAN MATHEMATICS CONFERENCE. 2015, [Online]. Available: https://sid.ir/paper/921965/en

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