Tests of hypotheses in fixed effects linear models

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:

• linear models
• least squares
• estimability