Open AccessThe Iwok-Nwikpe Distribution: Statistical Properties and Its Application
Author(s) -
Iwok Iberedem Aniefiok,
Barinaadaa John Nwikpe
Publication year - 2021
Publication title -
asian journal of probability and statistics
Language(s) - English
Resource type - Journals
ISSN - 2582-0230
DOI - 10.9734/ajpas/2021/v15i130347
Subject(s) - distribution fitting , inverse chi squared distribution , mathematics , moment generating function , exponential distribution , half normal distribution , log cauchy distribution , probability density function , cumulative distribution function , noncentral chi squared distribution , natural exponential family , distribution (mathematics) , probability distribution , univariate distribution , statistics , ratio distribution , distribution function , log logistic distribution , compound probability distribution , mathematical analysis , asymptotic distribution , physics , estimator , quantum mechanics
In this paper, a new continuous probability distribution named Iwok-Nwikpe distribution is proposed. Some essential statistical properties of the proposed probability distribution have been derived. The graphs of the survival function, probability density function (p.d.f) and cumulative distribution function (c.d.f) were plotted at different values of the parameter. The mathematical expression for the moment generating function (mgf) was derived. Consequently, the first three crude moments were obtained; the distribution of order statistics, the second and third moments corrected for the mean have also been derived. The parameter of the Iwok-Nwikpe distribution was estimated by means of maximum likelihood technique. To establish the goodness of fit of the Iwok-Nwikpe distribution, three real data sets from engineering and medical science were fitted to the distribution. Findings of the study revealed that the Iwok-Nwikpe distribution performed better than the one parameter exponential distribution and other competing models used for the study.