不对称的 V 形分布

Q4 Mathematics

Model Assisted Statistics and Applications Pub Date : 2024-03-14 DOI:10.3233/mas-231441

Tai Vo-Van, Thao Nguyen-Trang, Ha Che-Ngoc

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引用次数: 0

摘要

本文提出了一种新的非对称 V 型分布，用于拟合连续数据。在这项研究中，我们研究了新分布的一些统计特性，如均值、中位数、方差、生存率和危险函数。此外，我们还介绍了如何基于两个均匀分布的随机变量生成所提出的非对称 V 型分布。我们还列举了三个例子来说明非对称 V 型分布在一些模拟数据集和现实数据集中的优势。

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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An asymmetric V-shaped distribution

This paper proposes a new asymmetric V-shaped distribution for fitting continuous data. In this study, some statistical properties, such as the mean, the median, the variance, the survival, and the hazard function of the new distribution are investigated. Furthermore, we also presented how to generate the proposed asymmetric V-shaped distribution based on two random variables that have uniform distributions. Three examples are presented to illustrate the advantages of the asymmetric V-shaped distribution for some simulated and real-life data sets.

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来源期刊

Model Assisted Statistics and Applications Mathematics-Applied Mathematics

CiteScore

1.00

自引率

0.00%

发文量

期刊介绍： Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation, or analytical phase of statistical project. This information may be survey generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred. Papers of both applied and theoretical topics are acceptable.