homoscedastic


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homoscedastic

[‚hä·mō·skə¦das·tik]
(statistics)
Pertaining to two or more distributions whose variances are equal.
Pertaining to a variate in a bivariate distribution whose variance is the same for all values of the other variate.
References in periodicals archive ?
Both the methods were executed in heteroscedastic PNN and in homoscedastic PNN.
All variables were found to be adequately homoscedastic and linear through the examination of scatter plots, histograms, and normal Q-Q plots (Mertler & Vannatta, 2005; Tabachnick & Fidell, 2001).
Using the homoscedastic smearing coefficient (Duan 1983), I find that weekend admission is associated with a $102 reduction in 1-year inpatient expenditures.
A visual comparison of residuals between linear and nonlinear models showed the data to be homoscedastic and therefore the linear model was chosen because of its parsimony.
The error terms in this framework are assumed to be independent, homoscedastic, and distributed multivariate Gumbel.
Log of HTX is used in the study to render the distribution nearly normal and the error term homoscedastic.
When the variances between treatments (i,j) are all the same (or reasonably so), the data is considered homoscedastic.
The insignificance of the dummy variable (at the 95 percent significance level) implies that the two subsamples are homogenous, and the Jarque-Bera-test and White-test indicate that the residuals are normally distributed and homoscedastic.
Use of the F-test is based on the assumption of homoscedastic variance.
The IV approach yields the same point estimators as WLS, but it produces standard errors that are consistent with the assumption that the error term in Equation (1) is homoscedastic.
it] = the disturbance vector with a zero mean and a serially independent and homoscedastic variance-covariance matrix.