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Cites:

Information Seminar Paper

Title

ESTIMATION OF P(X > Y ) USING IMPRECISE DATA IN THELINDLEY DISTRIBUTION

Author(s)

PAK A.

Pages

  -

Abstract

 CLASSICAL ESTIMATION PROCEDURES OF THE STRESS-STRENGTH PARAMETER R = PR(X > Y ) ARE BASED ON PRECISE DATA. HOWEVER, IN REAL WORLD SITUATIONS, SOME COLLECTED DATA MIGHT BE IMPRECISE AND ARE REPRESENTED IN THE FORM OF FUZZY NUMBERS. IN THIS PAPER, WE OBTAIN THE MAXIMUM LIKELIHOOD ESTIMATION OF THE PARAMETER R WHEN X AND Y ARE INDEPENDENT LINDLEY RANDOM VARIABLES, AND THE AVAILABLE DATA ARE REPORTED IN THE FORM OF FUZZY NUMBERS. A MONTE CARLO SIMULATION STUDY IS CARRIED OUT IN ORDER TO ASSESS THE ACCURACY OF THE PROPOSED METHOD. ...

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  • Cite

    APA: Copy

    PAK, A.. (2015). ESTIMATION OF P(X > Y ) USING IMPRECISE DATA IN THELINDLEY DISTRIBUTION. SEMINAR ON RELIABILITY THEORY AND ITS APPLICATIONS. SID. https://sid.ir/paper/926789/en

    Vancouver: Copy

    PAK A.. ESTIMATION OF P(X > Y ) USING IMPRECISE DATA IN THELINDLEY DISTRIBUTION. 2015. Available from: https://sid.ir/paper/926789/en

    IEEE: Copy

    A. PAK, “ESTIMATION OF P(X > Y ) USING IMPRECISE DATA IN THELINDLEY DISTRIBUTION,” presented at the SEMINAR ON RELIABILITY THEORY AND ITS APPLICATIONS. 2015, [Online]. Available: https://sid.ir/paper/926789/en

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