For the analysis-of-covariance approach, we also compared homoscedastic
and heteroscedastic models with likelihood ratio tests.
Our main empirical results indicate that a homoscedastic
three-factor ATSM fits the data remarkably well.
Estimated variances are unbiased and the research confirms the presence of homoscedastic
error terms of the independent variables.
Baum (2001) proposed a more powerful version of this test (under the null that the error process is homoscedastic
across the panel or heteroscedastic across countries and there is serial dependence in the disturbances).
An example may be found in Cordeiro (2004), or rather, a proposal for the bias correction of maximum likelihood estimators in the class of nonlinear regression symmetric homoscedastic
All ANOVA tests were carried out only using homoscedastic
In all regressions, both White and Breusch-Pagan-Godfrey tests for heteroscedasticity rejects the homoscedastic
data should be homoscedastic
[When the variance of the error terms appears constant over range of predictor variables, the data are said to be homoscedastic
(Hair, Anderson, Tatham, & Black, 1995, p.
07; normality plots for monthly growth of offspring) and homoscedastic
(Levene's tests, P > 0.
Since the data were not normally distributed and were not homoscedastic
(p < 0.
Thus, the null hypothesis of a homoscedastic
normal process ([[alpha].
None of the covariates exhibited collinearity and the residuals of the log-transformed elk space use percentiles were approximately normal and homoscedastic