An easy-to-grasp introduction to nonparametric regression
This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains the basic concepts underlying nonparametric regression and features: * Thorough explanations of various techniques, which avoid complex mathematics and excessive abstract theory to help readers intuitively grasp the value of nonparametric regression methods * Statistical techniques accompanied by clear numerical...
An easy-to-grasp introduction to nonparametric regression
This book's straightforward, step-by-step approach provides an excellent introd...
The standard approach of most introductory books for practical statistics is that readers first learn the minimum mathematical basics of statistics and rudimentary concepts of statistical methodology. They then are given examples of analyses of data obtained from natural and social phenomena so that they can grasp practical definitions of statistical methods. Finally they go on to acquaint themselves with statistical software for the PC and analyze similar data to expand and deepen their understanding of statistical methods.
This book, however, takes a slightly different approach,...
The standard approach of most introductory books for practical statistics is that readers first learn the minimum mathematical basics of statistics...
This book uses simulation data instead of actual data to show the functions of statistical methods, and includes programs written in free 'R' software that illustrate clearly how these methods work to bring intrinsic values of data to the surface.
This book uses simulation data instead of actual data to show the functions of statistical methods, and includes programs written in free 'R' software...
