Nonparametric Simple Regression

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Focusing on advanced statistical methods, the book delves into kernel estimation and additive nonparametric regression. It highlights how these techniques can be utilized to choose appropriate data transformations before applying linear least-squares fitting. Through practical applications, readers will gain insights into enhancing their regression analysis and improving model accuracy.