一种新的倾斜Logistic分布对三模型数据的建模

IF 1.1 Q3 STATISTICS & PROBABILITY

Pakistan Journal of Statistics and Operation Research Pub Date : 2023-09-03 DOI:10.18187/pjsor.v19i3.3885

Dimpal Pathak, P. Hazarika, Subrata Chakraborty, Jondeep Das, G. G. Hamedani

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引用次数: 0

摘要

本文考虑了一类新的三模态斜logistic分布。给出了这种分布的一些性质，包括矩、矩生成函数、熵、参数的最大似然估计以及其他一些性质。进行了仿真研究以检验参数的性能。数值优化是通过两个真实的数据集进行的。结果表明，根据AIC和BIC的值，新的分布在逻辑、偏斜逻辑和α偏斜逻辑分布中的这些数据集上更适合。

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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Modeling Tri-Model Data With a New Skew Logistic Distribution

This paper considers a new family of the trimodal skew logistic distributions. Some properties of this distribution, including moments, moments generating function, entropy, maximum likelihood estimates of parameters and some other properties, are presented. A simulation study is conducted to examine the performance of the parameters. Numerical optimization is carried out via two real-life datasets. Results show that the new distribution is better ﬁtted in terms of these datasets among logistic, skew logistic and alpha skew logistic distributions based on the value of AIC and BIC.

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来源期刊

Pakistan Journal of Statistics and Operation Research STATISTICS & PROBABILITY-

CiteScore

3.30

自引率

26.70%

发文量

期刊介绍： Pakistan Journal of Statistics and Operation Research. PJSOR is a peer-reviewed journal, published four times a year. PJSOR publishes refereed research articles and studies that describe the latest research and developments in the area of statistics, operation research and actuarial statistics.