SUBSET

SUBSET: Best Subsets using Information Criteria. SUBSET, written in the matrix language Gauss, is a program that identifies optimal subsets of means or proportions based on independent groups. All possible configurations of ordered subsets of groups are identified and the best model is selected using either the AIC or BIC information criterion. For means, both homogeneous and heterogeneous variance cases are considered. SUBSET offers an alternative approach to traditional post-hoc multiple-comparison procedures such as the Tukey test for pairwise comparisons. Major advantages of SUBSET over traditional pairwise comparison procedures include the fact that intransitive decisions are avoided and that issues related to type I error control, sample size and heterogeneity of variance do not arise.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element


References in zbMATH (referenced in 1 article , 1 standard article )

Showing result 1 of 1.
Sorted by year (citations)

  1. C. Mitchell Dayton: SUBSET: Best Subsets using Information Criteria (2001) not zbMATH