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.

We propose a new bias-corrected spline-kernel estimator and a smooth simultaneous confidence band (SCB) as a global inference tool for the conditional variance function in a nonparametric regression ...

One can assess the assumption of constant noise variance (homoscedasticity) by plotting absolute values of residuals together with a smooth, nonparametric regression line.

In this sense, the proposed method is an extension of the variance of the regression estimator for two-stage sampling. The method is applied to quarterly data from the Labor Force Survey where ...

Because many common DIF detection methods ignore potential DIF variance, this paper proposes the use of random coefficient hierarchical logistic regression (RC-HLR) models to test for both uniform DIF ...

Michael Cohen, Siddhartha R. Dalal, John W. Tukey, Robust, Smoothly Heterogeneous Variance Regression, Journal of the Royal Statistical Society. Series C (Applied ...

The residual sum of squares (RSS) is a statistical technique used to measure the variance in a data set that is not explained by the regression model.