The mean accuracy of the homoscedastic
with random initialization is 96.
meaning that the data has a normal distribution, or is homoscedastic
All these tests have been conducted on the assumption that the inflation errors are homoscedastic
An examination of residual plots and appropriate statistical tests showed that the regression was linear, that the residuals were random, normally distributed, homoscedastic
, and independent of the predictor variables.
Parametric statistics were appropriate because the data were independent and homoscedastic
(Bartlett's test for homogeneity of variances--Wilkinson, 1987).
Procedures Based in Classical Approaches for Fixed-Effects Linear Models with Normal Homoscedastic
The main advantage of GMM estimation is that the model need not be homoscedastic
and serially independent.
Furthermore, for much of this dynamic range the relative SD of qPCR is similar (noise is homoscedastic
on the log scale).
The diagnostics indicates that the residuals are normally distributed, homoscedastic
and serially uncorrelated and the parameter appear to be stable.
10](y + 1) transformation nor a [square [square root of y + 5] transformation (Sokal & Rohlf 1995) resulted in the data meeting the homoscedastic
assumptions of parametric statistics.
It is not possible to determine whether response variances are homoscedastic
(constant) or heteroscedastic (not constant) in unreplicated data sets, and few degrees of freedom may be available for statistical testing after curve fitting and outlier detection.
We also assume that errors are homoscedastic
and serially independent both within and between individuals.