Limma instead uses a posterior variance that represents a weighted combination of sample variance and a more stable grand variance estimate that is approximated from all data on the array.

Homoskedastic refers to a condition in which the variance of the error term in a regression model is constant. Learn more about its importance and how it is used.

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

J. N. K. Rao, On Variance Estimation With Imputed Survey Data, Journal of the American Statistical Association, Vol. 91, No. 434 (Jun., 1996), pp. 499-506 ...

Semiparametric GLS coefficients are similar in sign, magnitude, and statistical significance to coefficients where the mean and variance of the errors are specified ex ante. In our data, coefficient ...

The equal variance t-test is an independent t-test and is used when the number of samples in each group is the same, or the variance of the two data sets is similar.

When a project is running exactly as predicted, there is no time variance to worry about. When events are happening ahead of schedule or behind schedule, you have a variance, which could pose ...