Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-01-08 DOI:10.1080/10618600.2024.2303336

Lu Yang

引用次数: 0

Abstract

The assessment of regression models with discrete outcomes is challenging and has many fundamental issues. With discrete outcomes, standard regression model assessment tools such as Pearson and dev...

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离散结果回归模型的双概率积分残差变换

对具有离散结果的回归模型进行评估具有挑战性，存在许多基本问题。对于离散结果，标准的回归模型评估工具，如 Pearson 和 dev...

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.