奇数扩展逻辑家族:属性，回归，模拟和应用

Q4 Mathematics

Model Assisted Statistics and Applications Pub Date : 2023-03-24 DOI:10.3233/mas-221364

G. Cordeiro, F. Prataviera, E. Ortega, R. Vila, Erica V. Nogueira

引用次数: 0

摘要

定义了奇扩展logistic- logistic- g族，得到了它的一些统计性质。我们基于所提出的分布的对数构造了一个新的扩展回归，它可以比其他已知的回归更好地拟合实际数据。

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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The odd extended log-logistic family: Properties, regression, simulations and applications

We define the odd extended log-logistic-G family, and obtain some of its statistical properties. We construct a new extended regression based on the logarithm of the proposed distribution, which can be better than other known regressions to fit real data.

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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.