Description

Book Synopsis
This comprehensive book provides readers with an applications--oriented introduction to robust regression and outlier detection - emphasising A"high--breakdownA" methods which can cope with a sizeable fraction of contamination. Its self--contained treatment allows readers to skip the mathematical material, which is concentrated in a few sections.

Trade Review
"…a wonderful book about methods of identifying outliers and then developing robust regression." (Journal of Statistical Computation and Simulation, July 2005)

Table of Contents
1. Introduction.

2. Simple Regression.

3. Multiple Regression.

4. The Special Case of One-Dimensional Location.

5. Algorithms.

6. Outlier Diagnostics.

7. Related Statistical Techniques.

References.

Table of Data Sets.

Index.

Robust Regression and Outlier Detection

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    A Paperback by PJ Rousseeuw, Annick M. Leroy

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      Publisher: Wiley-Blackwell
      Publication Date: Publication Date: 9/22/2003 12:00:00 AM
      ISBN13: 9780471488552, 978-0471488552
      ISBN10: 0471488550
      Also in:
      Geology, geomorphology and the lithosphere Mathematics Maths for scientists

      Description

      Book Synopsis
      This comprehensive book provides readers with an applications--oriented introduction to robust regression and outlier detection - emphasising A"high--breakdownA" methods which can cope with a sizeable fraction of contamination. Its self--contained treatment allows readers to skip the mathematical material, which is concentrated in a few sections.

      Trade Review
      "…a wonderful book about methods of identifying outliers and then developing robust regression." (Journal of Statistical Computation and Simulation, July 2005)

      Table of Contents
      1. Introduction.

      2. Simple Regression.

      3. Multiple Regression.

      4. The Special Case of One-Dimensional Location.

      5. Algorithms.

      6. Outlier Diagnostics.

      7. Related Statistical Techniques.

      References.

      Table of Data Sets.

      Index.

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