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Information Journal Paper

Title

STATISTICAL INFERENCE BASED ON THE ADJUSTED PROBABILITY WEIGHTED MOMENT ESTIMATOR

Pages

  79-87

Abstract

 In this paper a new method of estimation, named Adjusted Probability Weighted Moment (APWM), is introduced which is an extension of the Probability Weighted Moment (PWM). Based on APWM, a statistical inference is carried out on the parameter of Uniform distribution on (0, q). The results are compared with the ones of the other methods like the Maximum Likelihood (ML) and PWM. The APWM outperforms the PWM and gives the results at least similar to ML.

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    Cite

    APA: Copy

    FAYYAZ MOVAGHAR, A., & MAHMOUDI, Z.. (2015). STATISTICAL INFERENCE BASED ON THE ADJUSTED PROBABILITY WEIGHTED MOMENT ESTIMATOR. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 12(2 (45)), 79-87. SID. https://sid.ir/paper/164653/en

    Vancouver: Copy

    FAYYAZ MOVAGHAR A., MAHMOUDI Z.. STATISTICAL INFERENCE BASED ON THE ADJUSTED PROBABILITY WEIGHTED MOMENT ESTIMATOR. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2015;12(2 (45)):79-87. Available from: https://sid.ir/paper/164653/en

    IEEE: Copy

    A. FAYYAZ MOVAGHAR, and Z. MAHMOUDI, “STATISTICAL INFERENCE BASED ON THE ADJUSTED PROBABILITY WEIGHTED MOMENT ESTIMATOR,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 12, no. 2 (45), pp. 79–87, 2015, [Online]. Available: https://sid.ir/paper/164653/en

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