Tests of hypotheses on concomitant variables in linear models
Abstract
The likelihood ratio test for the equality of k univariate normal populations is extended to include the case in which the means are expressed as simple linear regression functions involving two parameters. The moments of the likelihood ratio statistic are derived, and an approximation to the null distribution is obtained.
Department(s)
Mathematics
Document Type
Article
DOI
https://doi.org/10.1080/03610928908829996
Keywords
and Phrases, Likelihood Ratio Test, Linear Regression, Null Distribution Approximations
Publication Date
1-1-1989
Recommended Citation
Moschopoulos, Panagis G. "Tests of hypotheses on concomitant variables in linear models." Communications in Statistics-Theory and Methods 18, no. 5 (1989): 1735-1746.
Journal Title
Communications in Statistics - Theory and Methods
COinS
