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The ROBUSTREG Procedure

Features

The main features of the ROBUSTREG procedure are as follows:

  • offers four estimation methods: M, LTS, S, and MM

  • provides 10 weight functions for M estimation

  • provides robust and deviance for all estimates

  • provides asymptotic covariance and confidence intervals for regression parameter with the M, S, and MM methods

  • provides robust Wald and F tests for regression parameters with the M and MM methods

  • provides outlier and leverage-point diagnostics

  • supports parallel computing for S and LTS estimates

  • produces fit plots and diagnostic plots by using ODS Graphics

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