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Calculating the Breakdown Point of Sparse Linear Models

Summary: [This abstract is based on the authors' abstract.] An algorithm is presented for calculating the maximum breakdown point for sparse linear models where the design matrix has many zero entries. The sparse design matrix is broken down into smaller submatrixes to benefit computation. An assembly process illustrates the application of the algorithm.

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  • Topics: Statistics
  • Keywords: Least squares, Robust design, Linear regression, Linear models
  • Author: Cho, Jung Jin; Chen, Yong; Ding, Yu
  • Journal: Technometrics