Comparison Different Estimation Method for Reliability Function of Based On Fuzzy Lifetime Data

Taha Anwar Taha; Abbas najm Salman

doi:10.20944/preprints202310.0481.v2

Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 8 October 2023 / Approved: 9 October 2023 / Online: 9 October 2023 (10:47:21 CEST)
Version 2 : Received: 10 October 2023 / Approved: 11 October 2023 / Online: 11 October 2023 (10:32:33 CEST)

In this study, we present different methods of estimating fuzzy reliability of a two-parameter Rayleigh distribution via the maximum likelihood estimator, median first-order statistics estimator, quartile estimator, L-moment estimator, and mixed Thompson-type estimator. The mean-square error MSE as a measurement for comparing the considered methods using simulation through different values for the parameters and unalike sample sizes is used. The results of simulation show that the fuzziness values are better than the real values for all sample sizes, as well as the fuzzy reliability at the estimation of the Maximum

Topp-Leone Distributions; Stress-Strength Model; Monte Carlo simulation

Computer Science and Mathematics, Probability and Statistics

Comment 1

Received: 11 October 2023
Commenter: Taha Taha
Commenter's Conflict of Interests: Author

Comment: Comparison Different Estimation Method for Reliability Function of On Fuzzy Lifetime Data

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Comparison Different Estimation Method for Reliability Function of Based On Fuzzy Lifetime Data

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