To offset the typically poor estimation of variance and to increase statistical power, investigators have developed methods that borrow information from genes across the array.

Making inferences about population differences based on samples of data, that is, performing intuitive analysis of variance (IANOVA), is common in everyday life. However, the intuitive reasoning of ...

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.

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.

You-Gan Wang, Xu Lin, Effects of Variance-Function Misspecification in Analysis of Longitudinal Data, Biometrics, Vol. 61, No. 2 (Jun., 2005), pp. 413-421 ...

This paper discusses a new estimator for probability of default and compare its performance against two alternative ...