We adapt Breiman’s (1995) nonnegative garrote method to perform variable selection in nonparametric additive models. The technique avoids methods of testing for which no reliable distributional theory is available. In addition it removes the need for a full search of all possible models, something which is computationally intensive, especially when the number of variables is moderate to high. T...

This paper uses annual data from 1980-1998 to test two models of the relationship between wholesale and retail marijuana prices. Results from regressions of retail prices on wholesale prices reject a multiplicative model, in which the difference in prices between levels is proportional to the wholesale price, in favor of an additive model, in which the price difference is a fixed amount. This f...

This article describes the asymptotic properties of local polynomial regression estimators for univariate and additive models when observation weights are included. Such weighted additive models are a crucial component of local scoring, the widely used estimation algorithm for generalized additive models described in Hastie and Tibshirani (1990). The statistical properties of the univariate loc...

In this paper hybrid Lorenz curves are proposed as a way of circumventing an important drawback of traditional models of the Lorenz curve, namely lack of satisfactory fit over the entire range of a given income distribution. Two categories of hybrid models are identified, namely the additive models and the multiplicative models. Whereas the additive models are obtained by taking convex combinat...

Let Y be the variable under study, a sensitive variable which can’t be observed directly. Let X is a non – sensitive auxiliary variable which is strongly correlated with Y. Let S be a scrambling variable independent of the study variable Y and the auxiliary variable X. The usual additive model used for gathering information on quantitative sensitive variable is due to Himmelfarb & Edgell [3]. T...

Introduction Rehabilitation and post-acute geriatry is a large field with a large panel of hospitals in France (1800). The French specific classification Groupes Homogène de Journées (GHJ280 groups), developed in 1996, is neither good enough for easy use in health politics nor for funding. A new casemix model, based on the same medical dataset and on analytic cost data, has been developed with ...

Early efforts in fMRI classification were limited in that individual voxels were used as features (e.g. [1]), yet voxels divide images into regions that do not directly correspond to underlying neural activity. A growing trend is to perform spatial smoothing that captures the correlation between nearby voxels. Unfortunately, the optimal spatial resolution for this smoothing is unknown and likel...

This paper is about the analysis of effects of status inconsistency and mobility on a dependent variable. We compare the mainstream square additive baseline model to alternative designs by Hope (1971, 1975) and Sobel (1981, 1985). Both writers claim that the square additive baseline model also contains some status inconsistency effects. An examination of the relationships between the square add...

The aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of Moghani sheep, using random regression models based on B-Splines functions. The data set included 9165 body weight records from 60 to 360 days of age from 2811 Moghani sheep, collected between 1994 to 2013 from Jafar-Abad Animal Research and Breeding Institute, Ardabil province,...

This paper addresses the inference of the transcriptional regulatory network of Bacillus subtilis. Two inference approaches, a linear, additive model and a non-linear power-law model, are used to analyze the expression of 747 genes from B. subtilis obtained using Affymetrix GeneChip® arrays under three different experimental conditions. A robustness analysis is introduced for identifying confid...