This note generalizes previous results on the asymptotic equiva lence of Ordinary and Generalized Least Squares estimates in Li near Regression models with trending data This note considers the relative e ciency of OLS versus GLS in the linear regression model yt x t ut t where xt and are K and where the unobservable disturbances ut are autocorrelated but independent of the regressors xt xt xtK...

.................................................................................................................................................. ix Introduction...............................................................................................................................................1 I. The determinants of foreign currency sovereign ratings: theory, data and OLS estimates ...

The paper proposes to combine an orthogonal least squares (OLS) model selection with local regularisation for efficient sparse kernel data modelling. By assigning each orthogonal weight in the regression model with an individual regularisation parameter, the ability for the OLS model selection to produce a very parsimonious model with excellent generalisation performance is greatly enhanced.

This article analyses DMSP/OLS night-time imagery as an information source to detect human settlements and to estimate the urban population in the Amazon region. DMSP/OLS single orbits were used to generate a DMSP stable light mosaic for 2002, in which most of the urban settlements with a population higher than 5000 inhabitants were precisely identified. DMSP/OLS night-time mosaic images from 1...

Absenteeism research has often been criticized for using inappropriate analysis. Characteristics of absence data, notably that it is usually truncated and skewed, violate assumptions of OLS regression; however, OLS and correlation analysis remain the dominant models of absenteeism research. This piece compares eight models that may be appropriate for analyzing absence data. Specifically, this p...

In linear regression with heteroscedastic errors, the Generalized Least Squares (GLS) estimator is optimal, i.e., it is the Best Linear Unbiased Estimator (BLUE). The Ordinary Least Squares (OLS) estimator is suboptimal but still valid, i.e., unbiased and consistent. Halbert White, in his seminal paper (Econometrica, 1980) used the OLS residuals in order to obtain an estimate of the standard er...

Oligodendrocytes (OLs) extend processes to contact axons as a prerequisite step in myelin formation. As the OL processes migrate toward their axonal targets, they modify adhesion to their substrate, an event that may be regulated by matrix metalloproteinases (MMPs). In the mouse optic nerve, MMP-9/gelatinase B increases during myelin formation. Although tissue inhibitor of metalloproteinase (TI...

Proanthocyanidins (PAs) are common polyphenolic polymers of plants found in foliage, fruit, bark, roots, rhizomes, and seed coats that consist of flavan-3-ol units such as 2,3-trans-(+)-catechin and 2,3-cis-(-)-epicatechin. Although the biosynthesis of flavan-3-ols has been studied in angiosperms, little is known about their biosynthesis and ecological roles in gymnosperms. In this study, the g...

Moser, Sydney Elizabeth. M.S., Purdue University, December 2013. The Effect of Individual Milk Proteins on Stability of Green Tea Flavan-3-ols. Major Professor: Mario G. Ferruzzi. While information regarding the impact of flavan-3-ol-protein interactions on food quality attributes (flavor, texture, and physical stability) exists, insight into the potential consequence of these interactions on b...