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Seber, George A. F. - Linear Regression Analysis, ebook

Linear Regression Analysis

Seber, George A. F.

137,30€

* Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models.
* More than 200 problems throughout the book plus outline solutions for the exercises.
* This

Weisberg, Sanford - Applied Linear Regression, ebook

Applied Linear Regression

Weisberg, Sanford

119,45€

"
—International Statistical Institute
The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression

Chatterjee, Samprit - Handbook of Regression Analysis, ebook

Handbook of Regression Analysis

Chatterjee, Samprit

110,20€

Written by established experts in the field, the purpose of this handbook is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a

Takezawa, K. - Introduction to Nonparametric Regression, ebook

Introduction to Nonparametric Regression

Takezawa, K.

117,35€

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

Furno, Marilena - Quantile Regression: Estimation and Simulation, ebook

Quantile Regression: Estimation and Simulation

Furno, Marilena

80,85€

Contains an overview of several technical topics of Quantile Regression 
Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based approach adopted for the first volume. The text explores topics including robustness, expectiles,

Weisberg, Sanford - Applied Linear Regression, ebook

Applied Linear Regression

Weisberg, Sanford

142,55€

Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building,