指数幂- g族分布:性质、模拟、回归建模和应用

Q4 Mathematics

Model Assisted Statistics and Applications Pub Date : 2023-06-15 DOI:10.3233/mas-221400

Alexsandro A. Ferreira, G. Cordeiro

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引用次数: 0

摘要

新的指数幂- g是继Alzaatreh等人(2013)之后引入的。它的一些主要统计性质是根据指数g性质提供的。最大似然估计和模拟是使用基线分布的逻辑逻辑来解决的。建立了对数指数幂对数逻辑回归模型，并将其应用于截尾数据。通过两个实际数据集验证了新模型的实用性。

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The exponential power-G family of distributions: Properties, simulations, regression modeling and applications

The new exponential power-G is introduced following Alzaatreh et al. (2013). Some of its main statistical properties are provided in terms of the exponentiated-G properties. Maximum likelihood estimation and simulations are addressed using the log-logistic for the baseline distribution. The log-exponential power log-logistic regression model is constructed and applied to censored data. The utility of the new models is proved by means of two real 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.