eBook - ePub

Modern Methods for Robust Regression

Name: Modern Methods for Robust Regression
ISBN: 9781544332567

Robert Andersen,

English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Modern Methods for Robust Regression

Robert Andersen,

About this book

Modern Methods for Robust Regression offers a brief but in-depth treatment of various methods for detecting and properly handling influential cases in regression analysis. This volume, geared toward both future and practicing social scientists, is unique in that it takes an applied approach and offers readers empirical examples to illustrate key concepts. It is ideal for readers who are interested in the issues related to outliers and influential cases.

Key Features

Defines key terms necessary to understanding the robustness of an estimator: Because they form the basis of robust regression techniques, the book also deals with various measures of location and scale.
Addresses the robustness of validity and efficiency: After having described the robustness of validity for an estimator, the author discusses its efficiency.
Focuses on the impact of outliers: The book compares the robustness of a wide variety of estimators that attempt to limit the influence of unusual observations.
Gives an overview of some traditional techniques: Both formal statistical tests and graphical methods detect influential cases in the general linear model.
Offers a Web appendix: This volume provides readers with the data and the R code for the examples used in the book.

Intended Audience

This is an excellent text for intermediate and advanced Quantitative Methods and Statistics courses offered at the graduate level across the social sciences.

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Yes, you can access Modern Methods for Robust Regression by Robert Andersen in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.