Reparametrized generalized gamma partially linear regression with application to breast cancer data

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-04-02 DOI:10.1080/02664763.2024.2337086

Cleanderson R. Fidelis, Edwin M. M. Ortega, Fábio Prataviera, Roberto Vila, Gauss M. Cordeiro

引用次数: 0

Abstract

We construct a new partially linear regression based on a reparametrized generalized gamma distribution with two systematic components that can be easily interpreted. Its parameters are estimated b...

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应用于乳腺癌数据的重拟态广义伽玛部分线性回归

我们构建了一种新的部分线性回归，其基础是具有两个系统成分的重定性广义伽马分布，易于解释。其参数的估计方法是...

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.