November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Ridge
Ridge regression is a statistical technique that is used when analyzing regression data or models that suffer from a condition known as multicollinearity. When multicollinearity occurs, estimates may be unbiased but their variances are usually large and far from the true value. This technique adds a degree of bias to the regression estimates to reduce standard errors (to produce estimates that are more dependable).
Multicollinearity is a condition within statistics in which a predictor (variable) in multiple regression models can be linearly predicted from the others with a significant accuracy.
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