An Algorithm for Positive-Breakdown Regression Based on Concentration Steps

  • Rousseeuw P
  • Van Driessen K
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Abstract

Positive-breakdown regression is able to extract previously unknown patterns or substructures from the data. Here we will focus on least trimmed squares (LTS) regression, which is based on the subset of h cases (out of n) whose least squares fit possesses the...

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Rousseeuw, P. J., & Van Driessen, K. (2000). An Algorithm for Positive-Breakdown Regression Based on Concentration Steps (pp. 335–346). https://doi.org/10.1007/978-3-642-58250-9_27

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