广义加性模型
回归分析
比例(比率)
统计
回归
线性回归
计量经济学
数学
地理
地图学
作者
Mikis D. Stasinopoulos,Robert A. Rigby,Fernanda De Bastiani
标识
DOI:10.1177/1471082x18759144
摘要
Abstract: A tutorial of the generalized additive models for location, scale and shape (GAMLSS) is given here using two examples. GAMLSS is a general framework for performing regression analysis where not only the location (e.g., the mean) of the distribution but also the scale and shape of the distribution can be modelled by explanatory variables.
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