Mma. Ananda, BAYESIAN AND NON-BAYESIAN SOLUTIONS TO ANALYSIS OF COVARIANCE-MODELS UNDER HETEROSCEDASTICITY, Journal of econometrics, 86(1), 1998, pp. 177-192
Citations number
14
Categorie Soggetti
Social Sciences, Mathematical Methods",Economics,"Mathematics, Miscellaneous","Mathematics, Miscellaneous
A single-factor fixed-effect analysis of covariance model with one or
more covariates is considered without the assumption of equal error va
riance. Using the generalized definition of p-values, exact tests are
derived for testing the equality of treatment effect and testing wheth
er the effect of the covariate is significant. In a Bayesian setup, it
is shown that these generalized p-values can be produced by the poste
rior predictive p-value approach by using an appropriate noninformativ
e prior. Examples and simulation studies are given to illustrate the p
roposed procedures and their advantages over the classical F-tests. (C
) 1998 Elsevier Science S.A. All rights reserved.