Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics) Book + PRICE WATCH * Amazon pricing is not included in price watch

Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics) Book

This comprehensive book provides readers with an applications--oriented introduction to robust regression and outlier detection - emphasising Ahigh--breakdownA"..."Read More

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  • Product Description

    Provides an applications-oriented introduction to robust regression and outlier detection, emphasising °high-breakdown° 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. Exposition focuses on the least median of squares technique, which is intuitive and easy to use, and many real-data examples are given. Chapter coverage includes robust multiple regression, the special case of one-dimensional location, algorithms, outlier diagnostics, and robustness in related fields, such as the estimation of multivariate location and covariance matrices, and time series analysis.

  • 0471488550
  • 9780471488552
  • Peter J. Rousseeuw, Annick M. Leroy
  • 22 September 2003
  • Wiley-Blackwell
  • Paperback (Book)
  • 360
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