This paper proposes a model averaging method based on Kullback-Leibler distance under a homoscedastic normal error term. The resulting model average estimator is proved to be asymptotically optimal. When combining least squares estimators, the model average estimator is shown to have the same large sample properties as the Mallows model average (MMA) estimator developed by Hansen (2007). We sho...

The objective of this study was to develop a forecast model to determine the rate of generation of municipal solid waste in the municipalities of the Cuenca del Cañón del Sumidero, Chiapas, Mexico. Multiple linear regression was used with social and demographic explanatory variables. The compiled database consisted of 9 variables with 118 specific data per variable, which were analyzed using a ...

In this article, we investigate how accurately the squared error captures perceptual errors introduced by Fourier phase spectrum changes. We measure the perceptual error using the Auditory Image Model by Patterson et al.. The squared error is found to represent the perceptual error well for low squared errors but it saturates. Thus, a further increase in squared error does on average not lead t...

We apply a look-up table technique to calibrate both position and orientation readings from a magnetic tracker for use in virtual environments within a defined working volume. In a test volume of 2.4 cubic meters, the method reduced the tracker’s average position error by 79% and its average orientation error by 40%. We test the correction table against the tracker’s performance outdoors (a met...