Citations are increasingly used for research evaluations. It is therefore important to identify factors affecting citation scores that are unrelated to scholarly quality or usefulness so that these can be taken into account. Regression is the most powerful statistical technique to identify these factors and hence it is important to identify the best regression strategy for citation data. Citati...

Most previous studies utilized a log-linear regression model to invert multi-spectral images into bathymetric data. Based on the Levenberg-Marquardt optimization algorithm, we developed an automated method for calibrating the parameters for a non-linear inversion model. Our method has been successfully applied to an IKONOS multispectral image. We compared depth data derived from our model to th...

this paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. this estimation method is obtained by implementing ridge regression learning algorithm in the la- grangian dual space. the distance measure for fuzzy numbers that suggested by diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting t...

a pedigree file consisting of 5860 individuals, 167 sires and 1582 dams collected at makooei sheep breeding station (msbs) during a period of 24 years (1990 to 2013) was used to calculate the inbreeding coefficients to reveal any probable effects of inbreeding (f) on the studied traits. the studied traits were classified to the five main groups including body weight, kleiber ratio, body measure...

We examine the determinants of environmental quality by using carbon dioxide emission levels as a proxy for environmental degradation. Our confirmatory, but different approach to analyzing Environmental Kuznets Curve (EKC) patterns in the data yield results that do not always agree with those found in the literature, which itself has no conclusive answer as to whether an EKC exists. We find tha...

Background: A physically active or inactive lifestyle begins with intuitive interest at a very young age. This study examined the impact of selected personal, school, and home variables on young children’s intuitive interests in physical and sedentary activities. Methods: National data from the Early Childhood Longitudinal Study (US Department of Education) were examined using Cohen’s d, hierar...

One critical aspect of retailer category management is pricing the brands within the category in order to maximize total category profits. Unlike the manufacturer, a retailer must carefully assess how changes in brand prices affect substitution between brands and overall category profits. In this paper, we demonstrate that structural demand models have inherent advantages over commonly used non...

We present a new approach to stochastic modeling of constraintbased grammars that is based on loglinear models and uses EM for estimation from unannotated data. The techniques are applied to an LFG grammar for German. Evaluation on an exact match task yields 86% precision for an ambiguity rate of 5.4, and 90% precision on a subcat frame match for an ambiguity rate of 25. Experimental comparison...

This paper focused on developing a model to study the effect of sukuk issuance on the inflation rate in top sukuk issuing Islamic economies at 2014‎. ‎For this purpose‎, ‎as the available sample size is small‎, ‎a Bayesian approach to regression model is used which contains key supply and demand side factors in addition to the outstanding sukuk volume as potential determinants of inflation rate...