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Robust Regression|Kenneth D. Lawrence

Robust Regression : Analysis and Applications

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Overview

Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weigh. Each observation discusses generalized properties of LP-estimators. It includes an algorithm for identifying outliers using least absolute value criterion, in regression modelling reviews re-descending M-estimators studies Li linear regres

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Details

  • ISBN-13: 9780824781293
  • ISBN-10: 0824781295
  • Publisher: CRC Press
  • Publish Date: December 1989
  • Dimensions: 9.2 x 5.94 x 0.75 inches
  • Shipping Weight: 1.2 pounds
  • Page Count: 310

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