Document


Title

An easy way to tell what you are testing in analysis of variance
Document Type: Journal Article
Author(s): D. L. Turner
Publication Year: 1990

Cataloging Information

Keyword(s):
  • statistical analysis
Topic(s):
Record Maintained By:
Record Last Modified: June 1, 2018
FRAMES Record Number: 38495
Tall Timbers Record Number: 13100
TTRS Location Status: In-file
TTRS Call Number: Fire File DDW
TTRS Abstract Status: Okay, Fair use, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.

Description

Least squares regression models are often used to analyze unbalanced fixed effect data sets with u unique cells defined by design or by post-hoc stratification. Constraints exist among the regression coefficients if there are more coefficients than cells. Models with fewer linearly independent regression coefficients than cells or with empty cells impose constraints on estimated cell means. An easy method of determining constraints among the estimated cell means and among the estimated regression coefficients for any model is developed and illustrated using a small data set. © 1991 by Marcel Dekker, Inc

Citation:
Turner, D. L. 1990. An easy way to tell what you are testing in analysis of variance. Communications in Statistics,Theory and Methods, v. 19, no. 12, p. 4807-4832.