一种新的马歇尔-奥尔金洛马克斯分布及其在故障和保险数据中的应用

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Statistics Pub Date : 2024-04-16 DOI:10.1080/02331888.2024.2341792

Muhammad Ameeq, Sidra Naz, Muhammad Tahir, Muhammad Muneeb Hassan, Farrukh Jamal, Laraib Fatima, Rabeea Shahzadi

引用次数: 0

摘要

这项研究建立了一个新的分布系列，即马歇尔-奥尔金广义分布。该系列引入了一个新模型，即马歇尔-奥尔金-洛马克斯（NMOL）分布。NM...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A new Marshall-Olkin lomax distribution with application using failure and insurance data

This study developed a new family of distributions, the Marshall-Olkin generalized distribution. A novel model, the Marshall-Olkin Lomax (NMOL) distribution, was introduced into this family. The NM...

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来源期刊

Statistics 数学-统计学与概率论

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.