Multiple Linear and 1D Regression

时间:2021-10-22 14:10:17
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文件名称:Multiple Linear and 1D Regression

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更新时间:2021-10-22 14:10:17

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Regression is the study of the conditional distribution Y |x of the response Y given the p × 1 vector of nontrivial predictors x. In a 1D regression model, Y is conditionally independent of x given a single linear combination α + βTx of the predictors, written Y x|(α + βTx) or Y x|βTx. Many of the most used statistical methods are 1D models, including generalized linear models such as multiple linear regression, logistic regression, and Poisson regression


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