Last edited by Jurr
Friday, July 24, 2020 | History

8 edition of Modern methods for robust regression found in the catalog.

Modern methods for robust regression

Andersen, Robert Ph. D.

Modern methods for robust regression

by Andersen, Robert Ph. D.

  • 220 Want to read
  • 8 Currently reading

Published by Sage Publications in Los Angeles .
Written in English

    Subjects:
  • Social sciences -- Statistical methods,
  • Regression analysis,
  • Robust statistics

  • Edition Notes

    Includes bibliographical references (p. 95-99) and index.

    StatementRobert Andersen.
    SeriesQuantitative applications in the social sciences -- no. 07-152, Sage university papers series -- no. 07-152.
    Classifications
    LC ClassificationsHA31.3 .A63 2008
    The Physical Object
    Paginationxv, 107 p. :
    Number of Pages107
    ID Numbers
    Open LibraryOL15986216M
    ISBN 101412940729
    ISBN 109781412940726
    LC Control Number2007009019
    OCLC/WorldCa85833319

    The paper (1) reviews why least squares regression and classic inferential methods can fail, (2) provides an overview of the many modern strategies for dealing with known problems, including some recent advances, and (3) illustrates that modern robust methods can make a practical difference in our understanding of data. This new method for robust nonlinear regression has a bounded influence and high breakdown point and asymptotic efficiency under normal distribution and is able to estimate the parameters of nonlinear regression in such a way that is close to the parameter estimates we would have estimated with the absence of outliers in the data. In addition.

    "Over the years, I have had the opportunity to teach several regression courses, and I cannot think of a better undergraduate text than this one."—The American Statistician "The book is well written and has many exercises. It can serve as a very good textbook for scientists and engineers, with only basic statistics as a prerequisite. I also highly recommend it to practitioners who want . Modern Regression Methods was among those chosen. From the Publisher: Featuring a data analysis orientation and a comprehensive treatment of regression diagnostics, this book is a synthesis of the state-of-the-art regression : $

    For books focused on the mathematical foundation of modern robust methods, see Ham-pel et al. (), Huber and Ronchetti (), Maronna et al. (), and Staudte and Sheather (). For books focused on applying robust methods, see Heritier et al. () and Wilcox (a, c). From an applied point of view, the di culty is not nding a. WELCOME, LET THE FUN BEGIN! Get e-Books "Robust Regression And Outlier Detection" on Pdf, ePub, Tuebl, Mobi and Audiobook for are more than 1 Million Books that have been enjoyed by people from all over the world. Always update books hourly, if not looking, search in the book search column. Enjoy % FREE.


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Modern methods for robust regression by Andersen, Robert Ph. D. Download PDF EPUB FB2

SAGE, - Social Science - pages 0 Reviews Modern Methods for Robust Regression offers a brief but in-depth treatment of various methods for detecting and properly handling influential cases. Modern Methods for Robust Regression (Quantitative Applications in the Social Sciences Book ) - Kindle edition by Andersen, Robert.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Modern Methods for Robust Regression (Quantitative Applications in the Social Sciences Book /5(2).

Preview 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.

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Modern Methods for Robust Regression. Robert Andersen - University of Toronto, Canada; Volume: Series: a web appendix that provides readers with the data and the R-code for the examples used in the book. Robust Regression-Related Methods for Detecting Outliers. The current book by Andersen will help social scientists understand these methods and learn the principles and applications of robust regression, with the focus on robustness of validity (instead of efficiency).

In the social sciences, the modern methods of robust and resistant regression are not yet well known. Regression analysis is the workhorse of statistical methods in quantitative social science.

A vast majority of problems are tackled by either linear models or generalized linear models. The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics.

Introduction to Robust Estimation and Hypothesis Testing - Rand R. Wilcox - Google Books This revised book provides a thorough explanation of the foundation of robust methods, incorporating the.

Modern Methods for Robust Regression offers a brief but in-depth treatment of various methods for detecting and properly handling influential cases in Our Stores Are Open Book Annex Membership Educators Gift Cards Stores & Events HelpPrice: $ These robust-regression methods were developed between the mids and the mids.

The L 1 methods described in Section 5 are now probably the most widely used of these methods. 1 Breakdown and Robustness The nite-sample breakdown point of an estimator or procedure is the smallest fraction.

Robust Nonlinear Regression: with Applications using R, Riazoshams Hossein Books, Wiley Books, at Meripustak. Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among groups and true associations among variables.

Modern Regression Methods, Second Edition maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an Amstat News book editor in This new edition has been updated and enhanced to include all-new information on the.

Modern Methods for Robust Regression. Robert Andersen - University of Toronto, Canada; Volume: Series: Robust Regression-Related Methods for Detecting Outliers The platform allows researchers to cross-search and seamlessly access a wide breadth of must-have SAGE book and reference content from one source.

"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. 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. An accessible guide to state-of-the-art regression techniques, Modern Regression Methods, Second Edition is an excellent book for courses in regression analysis at the upper-undergraduate and graduate levels.

It is also a valuable reference for practicing statisticians, engineers, and physical by:   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 revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression.

It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods 4/5(2).

Additional Book Details 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.An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables.

ingredients, geometry of regression, robust regression, and resampling procedures. found on the companion disk at the.Modern methods for robust regression. [Robert Andersen] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Book, Internet Resource: All Authors / Contributors: Robert Andersen.

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