Arbitrary hypotheses in linear mod fi.S with unbalanced data
- 1 January 1980
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 9 (2) , 181-200
- https://doi.org/10.1080/03610928008827870
Abstract
The Statistical Analysis System (SAS) procedure entitled General Linear Model (GLM) includes in its output four types of estimable functions that have certain arbitrariness (represented by the letter L) in their coefficients. This paper shows how such arbitrary estimable functions are derived from the known, general expressions for hypotheses tested by traditional-style F-statisties in analysis of variance calculations that are often made for unbalanced data (i.e., data having unequal numbers of observations in their subclasses).Keywords
This publication has 1 reference indexed in Scilit:
- Methods of Analysis of Linear Models with Unbalanced DataJournal of the American Statistical Association, 1978