Record-based transmuted unit omega distribution: different methods of estimation and applications

Fuente: arXiv
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Auteurs principaux: Pathak, Ashok Kumar, Arshad, Mohd., Pandey, Alok Kumar, Ali, Alam
Format: Preprint
Publié: 2024
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author Pathak, Ashok Kumar
Arshad, Mohd.
Pandey, Alok Kumar
Ali, Alam
author_facet Pathak, Ashok Kumar
Arshad, Mohd.
Pandey, Alok Kumar
Ali, Alam
contents Dombi et al. (2019) introduced a three parameter omega distribution and showed that its asymptotic distribution is the Weibull model. We propose a new record-based transmuted generalization of the unit omega distribution by considering Balakrishnan and He (2021) approach. We call it the RTUOMG distribution. We derive expressions for some statistical quantities, like, probability density function, distribution, hazard function, quantile function, moments, incomplete moments, inverted moments, moment generating function, Lorenz curve, and Bonferroni curve of the proposed distribution. The numerical values of various measures of central tendency and coefficient of skewness and kurtosis are also presented. Concepts of stochastic ordering and some results related to ordered statistics of the RTUOMG distribution are discussed. The parameters of the RTUOMG distribution are estimated using five distinct estimators. Additionally, the Monte Carlo simulations are performed to assess the performance of these estimators. Finally, two real data sets are analyzed to demonstrate the utility of the RTUOMG distribution.
format Preprint
id arxiv_https___arxiv_org_abs_2405_07958
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Record-based transmuted unit omega distribution: different methods of estimation and applications
Pathak, Ashok Kumar
Arshad, Mohd.
Pandey, Alok Kumar
Ali, Alam
Statistics Theory
60E05, 62F10, 62E15, 65C05, 33C05
Dombi et al. (2019) introduced a three parameter omega distribution and showed that its asymptotic distribution is the Weibull model. We propose a new record-based transmuted generalization of the unit omega distribution by considering Balakrishnan and He (2021) approach. We call it the RTUOMG distribution. We derive expressions for some statistical quantities, like, probability density function, distribution, hazard function, quantile function, moments, incomplete moments, inverted moments, moment generating function, Lorenz curve, and Bonferroni curve of the proposed distribution. The numerical values of various measures of central tendency and coefficient of skewness and kurtosis are also presented. Concepts of stochastic ordering and some results related to ordered statistics of the RTUOMG distribution are discussed. The parameters of the RTUOMG distribution are estimated using five distinct estimators. Additionally, the Monte Carlo simulations are performed to assess the performance of these estimators. Finally, two real data sets are analyzed to demonstrate the utility of the RTUOMG distribution.
title Record-based transmuted unit omega distribution: different methods of estimation and applications
topic Statistics Theory
60E05, 62F10, 62E15, 65C05, 33C05
url https://arxiv.org/abs/2405.07958