Regression model
多元多重线性回归
多元回归是一种线性回归方法,它同时从一组共享的预测变量预测多个连续的因变量。正如Johnson和Wichern的《应用多元统计分析》(2007)等标准教材中所述,每个响应方程都可以通过普通最小二乘法进行拟合,同时利用残差的协方差结构进行联合检验。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Johnson, R. A. & Wichern, D. W. (2007). Applied Multivariate Statistical Analysis (6th ed.). Pearson. ISBN: 978-0131877153
如何引用本页
ScholarGate. (2026, June 1). Multivariate Multiple Linear Regression. ScholarGate. https://scholargate.app/zh/statistics/multivariate-regression
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Hotelling T²检验统计学↔ compare
- 逻辑回归研究统计学↔ compare
- 协方差多变量分析 (MANCOVA)统计学↔ compare
- 普通最小二乘法 (OLS) 回归计量经济学↔ compare
- 岭回归(Ridge Regression)机器学习↔ compare