Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/6503
Title: The Harris-G power series class of distributions with applications
Authors: Wellington Fredrick Charumbira
Broderick Oluyede
Fastel Chipepa
Lesego Gabaitiri
Department of Mathematics and Statistical Sciences, Faculty of Sciences, Botswana International University of Science and Technology, P. Bag 16, Palapye, Botswana; Department of Applied Mathematics and Statistics, Faculty of Science and Technology, Midlands State University, P. Bag 9055, Gweru, Zimbabwe
Department of Mathematics and Statistical Sciences, Faculty of Sciences, Botswana International University of Science and Technology, P. Bag 16, Palapye, Botswana
Department of Mathematics and Statistical Sciences, Faculty of Sciences, Botswana International University of Science and Technology, P. Bag 16, Palapye, Botswana
Department of Mathematics and Statistical Sciences, Faculty of Sciences, Botswana International University of Science and Technology, P. Bag 16, Palapye, Botswana
Keywords: Harris-G
power series
generalised distribution
maximum likelihood estimation
MLE
moments
order statistics
entropy
Issue Date: 8-Oct-2024
Publisher: Inderscience
Abstract: This study introduces a novel class of distributions (CoD) called the Harris-G power series (H-GPS) CoD. The model is obtained by compounding the Harris-G distribution with the power series distribution (PSD). Some statistical properties including quantile function, linear representation, distribution of order statistics, moments, probability weighted moments and Rényi entropy are developed. Four special cases including the Harris-log-logistic distribution, Harris-log-logistic logarithmic distribution, Harris-Weibull Poisson distribution and the Harris-Weibull logarithmic distribution are presented. Parameter estimation is done using maximum likelihood estimation technique. A simulation study is carried out for the special case of Harris-Weibull Poisson (H-WP) distribution. Finally the Harris-Weibull Poisson is applied to two real datasets to illustrate the usefulness and applicability of the model.
URI: https://cris.library.msu.ac.zw//handle/11408/6503
Appears in Collections:Research Papers

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