The T–R {Y} power series family of probability distributions | ||||
Journal of the Egyptian Mathematical Society | ||||
Volume 28, Issue 1, June 2020, Page 1-18 PDF (784.55 K) | ||||
DOI: 10.1186/s42787-020-00083-7 | ||||
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Authors | ||||
M.K. Aouf1; Patrick Osatohanmwen2; Francis O. Oyegue; Sunday M. Ogbonmwan | ||||
1Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt | ||||
2Department of Statistics, University of Benin, Benin City, Edo State, Nigeria | ||||
Abstract | ||||
A new family of univariate probability distributions called the T − R {Y} power series family of probability distributions is introduced in this paper by compounding the T − R {Y} family of distributions and the power series family of discrete distributions. A treatment of the general mathematical properties of the new family is carried out and some sub-families of the new family are specified to depict the broadness of the new family. The maximum likelihood method of parameter estimation is suggested for the estimation of the parameters of the new family of distributions. A special member of the new family called the Gumbel–Weibull–{logistic}–Poisson (GUWELOP) distribution is defined and found to exhibit both unimodal and bimodal shapes. The GUWELOG distribution is further applied to a real multi-modal data set to buttress its applicability. | ||||
Keywords | ||||
T − R{Y} family; Power series family; Continuous distribution; Discrete distribution; Maximum Likelihood estimation | ||||
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