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The Journal of Statistics and Management Systems (JSMS) is a world leading journal publishing high quality, rigorously peer-reviewed original research on theoretical and applied statistics and management systems since 1998. The scope is intentionally broad, but papers must make a novel contribution to the field to be considered for publication. Topics include, but are not limited to, the following: • Statistics • Applied Statistics • Industrial Statistics • Statistical Inference • Interdisciplinary role of Statistics • Actuarial Sciences • Decision Sciences • Managerial Aspects • Management Sciences • Management Information Systems

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Open Access Research Article

A max-autoregressive process based on Marshall-Olkin new Pareto-type distribution

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pp. 1657–1681Vol. 27Issue 8November 2024DOI: 10.47974/JSMS-1236XML
Received:
18 Jan 2023
Published Online:
18 Dec 2024
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1236
Pages:
1657–1681

Abstract

A new autoregressive process with Marshall-Olkin new Pareto-type (MOPT) marginal distribution is recommended in this paper. The distribution of the extremes with closure property, estimation via the maximum likelihood technique, and model fitting to the breakdown time of a particular type of electrical insulating material stressed under steady voltage are some of the statistical frameworks of the MOPT distribution, which are discussed comprehensively. The last aspect of the paper is devoted to the order max-autoregressive process based on the MOPT marginal distribution, showing its Pegram representation, along with the statistical properties and the estimation of the unknown parameters of the process. Moreover, the model is utilized for time series data and compared to some competitive models under a yearly alcohol consumption from 1995 to 2019 obtained from New Zealand.

Keywords

Subject Classifications

62E1062P9962M20

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