Homoskedastic

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Homoskedastic

Describing a sequence of variables where each variable has the same or a very similar variance. Homoskedasticity is often assumed in statistics but is not always true. See also: Heteroskedastic.
References in periodicals archive ?
For the analysis-of-covariance approach, we also compared homoscedastic and heteroscedastic models with likelihood ratio tests.
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 models.
In all regressions, both White and Breusch-Pagan-Godfrey tests for heteroscedasticity rejects the homoscedastic errors.
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.
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.