Pakistan Science Abstracts
Article details & metrics
No Detail Found!!
Weighted arz distribution: properties and application
Author(s):
1. Rodaina M. Al-Ayasrah: Department of Mathematics, Al al-Bayt University, Mafraq (25113), Jordan
2. Mohammed M. Gharaibeh: Department of Mathematics, Al al-Bayt University, Mafraq (25113), Jordan
Abstract:
In this paper, a new continuous distribution with one parameter named weighted Arz distribution (WAD) is suggested using the idea of weighted distributions. Several properties of this distribution such as moments, moment generating function, skewness, coeficient of variation, kurtosis, and index of dispersion are investigated. Also, the distribution of order statistics, Lorenz and Bonferroni curves, Gini index, stochastic ordering, Re´nyi entropy, mean deviations about mean and median are provided. The reliability functions including survival, hazard, odds, reversed hazard rate, and mean residual life are provided with supported graphical representation. The maximum likelihood estimate (MLE) of the distribution parameter is provided. A simulation study is conducted to show the consistency of the MLE. Application to COVID-19 data set is presented and showed that the proposed distribution is more flexible than some other competing distributions in iftting such data.
Page(s): 81-101
DOI: DOI not available
Published: Journal: Journal of Applied Probability and Statistics, Volume: 18, Issue: 3, Year: 2023
Keywords:
entropy , Moments , Order Statistics , Stochastic Ordering , maximum likelihood estimation , and phrases , Reliability Analysis , Weighted distributions , mean deviations
References:
References are not available for this document.
Citations
Citations are not available for this document.
0

Citations

0

Downloads

12

Views