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Regression model

Beta回归

Beta回归是由Ferrari和Cribari-Neto (2004) 提出的一种广义线性模型,用于处理取值范围在开区间 (0,1) 内的比例或比率型数据。它通过连接函数来模拟Beta分布响应变量的均值,是处理分数、概率得分和比例指数的自然选择。

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来源

  1. Ferrari, S. L. P. & Cribari-Neto, F. (2004). Beta Regression for Modelling Rates and Proportions. Journal of Applied Statistics, 31(7), 799–815. DOI: 10.1080/0266476042000214501

如何引用本页

ScholarGate. (2026, June 1). Beta Regression for Rates and Proportions. ScholarGate. https://scholargate.app/zh/statistics/beta-regression

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被引用于

ScholarGateBeta Regression (Beta Regression for Rates and Proportions). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/beta-regression · 数据集: https://doi.org/10.5281/zenodo.20539026