Tests of hypotheses in fixed effects linear models
- 1 January 1980
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 9 (2) , 167-180
- https://doi.org/10.1080/03610928008827869
Abstract
Using the concept of estimability, tests of hypotheses in multifactor fixed effects linear models are developed without resorting to the “usual assumptions.” Three types of estimable functions are defined. Each type handles unequal n's, missing cells, and any degree of confounding for any fixed effects linear model.Keywords
This publication has 1 reference indexed in Scilit:
- Log Linear Models for Contingency Tables: A Generalization of Classical Least SquaresJournal of the Royal Statistical Society Series C: Applied Statistics, 1974