Accession Number:

ADA113877

Title:

Small Sample Properties of Robust Analysis of Variance for Fixed and Random Effects Models.

Descriptive Note:

Final rept. 1 May 79-30 Apr 81,

Corporate Author:

NEW MEXICO UNIV ALBUQUERQUE

Personal Author(s):

Report Date:

1982-04-01

Pagination or Media Count:

7.0

Abstract:

The major shortcoming of robust methodology in statistical linear models has been a limitation primarily to parameter estimation in fixed effects models. The major competitor, classical least squares methodology, by contrast offers a unified treatment of estimation, testing, and multiple comparisons techniques in a wide range of fixed and random effects models. Research efforts have been directed toward filling the void in robust methods in order to provide a complete alternative to least squares procedures. This report summarizes the results. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE