This paper estimates hedonic price models for a sample of 610 vacation rental houses located in the vicinity of a lake and four-season ski-golf resort. Hedonic semilogarithmic regression models are estimated for peak summer and peak winter rentals for 2008. The regression estimates for weekly rental prices are conditioned on explanatory variables for house size, house quality, and locational fe...

Based on the experience of teaching logistic regression to non-mathematicians, a number of areas of possible confusion are identified that may arise particularly when the method is contrasted with multiple linear regression. The fact that the model is multiplicative in odds ratios means that the concept of interaction needs to be clearly defined. Confidence intervals for the estimates of the od...

In this paper, penalized power-divergence test statistics have been defined and their exact size properties to test a nested sequence of log-linear models have been compared with ordinary power-divergence test statistics for various penalization, λ and main effect values. Since the ordinary and penalized powerdivergence test statistics have the same asymptotic distribution, comparisons have bee...

Known algorithms applied to online logistic regression on a feasible set of L2 diameter D achieve regret bounds like O(e log T ) in one dimension, but we show a bound of O( √ D + log T ) is possible in a binary 1-dimensional problem. Thus, we pose the following question: Is it possible to achieve a regret bound for online logistic regression that is O(poly(D) log(T ))? Even if this is not possi...

Background: Finding the most appropriate regression model for survival data in cancer casesin order to determine prognosis is an important issue in medical research. Here we compare Cox and parametric regression models regarding survival of children with acute leukemia in southern Iran. Methods: In a retrospective cohort study, information for 197 children with acute leukemia over 6 years was c...

Background: Previous literatures have indicated that log-binomial regression model is an alternative for the logistic frequent occurrence of event outcome. The comparison performance these two models has been found with reference to clinical/epidemiological data. Nonetheless, application and its poverty data not described. 
 Objective: To compare in terms variable selection, effect size, p...

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...

This paper presents a method for learning artistic portrait lighting template from a dataset of artistic and daily portrait photographs. The learned template can be used for (1) classification of artistic and daily portrait photographs, and (2) numerical aesthetic quality assessment of these photographs in lighting usage. For learning the template, we adopt Haar-like local lighting contrast fea...

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...