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    ARTICLE

    Statistical Inference of Sine Inverse Rayleigh Distribution

    Abdullah, Ali H. Ahmadini*

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 405-414, 2022, DOI:10.32604/csse.2022.020079

    Abstract We study in this manuscript a new one-parameter model called sine inverse Rayleigh (SIR) model that is a new extension of the classical inverse Rayleigh model. The sine inverse Rayleigh model is aiming to provide more fitting for real data sets of purposes. The proposed extension is more flexible than the original inverse Rayleigh (IR) model and it hasmany applications in physics and medicine. The sine inverse Rayleigh distribution can havea uni-model and right skewed probability density function (PDF). The hazard rate function (HRF) of sine inverse Rayleigh distribution can be increasing and J-shaped. Several of thenew model’s fundamental characteristics,… More >

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