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.

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

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 ...

Standard references show the effects of carrier phase jitter on the performance of digital communications equipment as curves of bit error rate versus signal-to ...

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