مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

Journal of Biostatistics and Epidemiology

Pages

  11-17

Abstract

 Background & Aim: Due to the applicability of the statistical distributions in many areas of sciences, adding parameters to an existing distribution for developing more flexible models have been overlooked in the statistical literatures. Methods & Materials: A new generalization of power distribution is proposed using alpha power transformation method. The new distribution is more flexible than the power distribution and contains distributions that can be unimodal or right skewed. Results: We study some statistical properties of the new distribution, including mean residual lifetime, quantiles, mode, moments, moment generating function, order statistics, some entropies and maximum likelihood estimators. Conclusion: We fit the APP and some competitive models to one real data set and show that the new model has a superior performance among the compared distributions as evidenced by some goodness-of fit statistics.

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    APA: Copy

    Fathizadeh, Malek, MAHDAVI, ABBAS, & Jabbari, Leila. (2018). Journal of Biostatistics and Epidemiology. JOURNAL OF BIOSTATISTICS AND EPIDEMIOLOGY, 4(3), 11-17. SID. https://sid.ir/paper/308547/en

    Vancouver: Copy

    Fathizadeh Malek, MAHDAVI ABBAS, Jabbari Leila. Journal of Biostatistics and Epidemiology. JOURNAL OF BIOSTATISTICS AND EPIDEMIOLOGY[Internet]. 2018;4(3):11-17. Available from: https://sid.ir/paper/308547/en

    IEEE: Copy

    Malek Fathizadeh, ABBAS MAHDAVI, and Leila Jabbari, “Journal of Biostatistics and Epidemiology,” JOURNAL OF BIOSTATISTICS AND EPIDEMIOLOGY, vol. 4, no. 3, pp. 11–17, 2018, [Online]. Available: https://sid.ir/paper/308547/en

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