Hi, I'm grappling with a little real-life problem (with a kitchen scale :facepalm: ) which is more of a "lab dos and donts 101". I don't really know where to post about such things, but since ...

Testing for Constant Variances The difference-from-nominal chart should be accompanied by a test that checks whether the variances for each product type are identical (homogeneous). Levene's test 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.

One of the most versatile regression diagnostic methods is to plot the residuals r i against the predictors (x i, r i) and the predicted values (ŷ i, r i) ().When noise assumptions are met, these ...

We consider regression problems under asymmetric or/and non-constant variance error. We see this problem in several fields such as insurance premium estimation, ...

The Allan variance (AV) is a widely used quantity in areas focusing on error measurement as well as in the general analysis of variance for autocorrelated proce ...

Keywords: Bayesian Models, Rhythm perception, variability, constant error, sensorimotor synchronization Conference: 14th Rhythm Production and Perception Workshop Birmingham 11th - 13th September 2013 ...