Search Results - subject:"Linear Models"

Testing in generalized partially linear models: A robust approach

Boente, Graciela; Cao, Ricardo; González Manteiga, … - In: Statistics & Probability Letters 83 (2013) 1, pp. 203-212

In this paper, we introduce a family of robust statistics which allow to decide between a parametric model and a semiparametric one. More precisely, under a generalized partially linear model, i.e., when the observations satisfy yi|(xi,ti)∼F(⋅,μi) with μi=H(η(ti)+xit β) and H a known...

Persistent link: https://www.econbiz.de/10011039926

Multi-step-ahead prediction of NOx emissions for a coal-based boiler

Smrekar, J.; Potočnik, P.; Senegačnik, A. - In: Applied Energy 106 (2013) C, pp. 89-99

Until 2016 power plants within the EU will have to meet new limits on emissions as dictated by EU regulations. One of the major challenges is to reduce emissions of nitrogen oxides (NOx) due to health and ozone-formation concerns. Combustion optimisation is one of the primary measures for...

Persistent link: https://www.econbiz.de/10011040875

Modeling fMRI Data: Challenges and Opportunities

Maydeu-Olivares, Alberto; Brown, Gregory - In: Psychometrika 78 (2013) 2, pp. 240-242

We offer an introduction to the five papers that make up this special section. These papers deal with a range of the methodological challenges that face researchers analyzing fMRI data—the spatial, multilevel, and longitudinal nature of the data, the sources of noise, and so on. The papers all...

Persistent link: https://www.econbiz.de/10010998755

Regression anatomy, revealed

Filoso, Valerio - In: Stata Journal 13 (2013) 1, pp. 92-106

linear models, producing bidimensional scatterplots and regression lines obtained by controlling for the other covariates …

Persistent link: https://www.econbiz.de/10011002433

Generalized additive models for functional data

Febrero-Bande, Manuel; González-Manteiga, Wenceslao - In: TEST: An Official Journal of the Spanish Society of … 22 (2013) 2, pp. 278-292

The aim of this paper is to extend the ideas of generalized additive models for multivariate data (with known or unknown link function) to functional data covariates. The proposed algorithm is a modified version of the local scoring and backfitting algorithms that allows for the nonparametric...

Persistent link: https://www.econbiz.de/10010994269

Variable selection and parameter estimation for partially linear models via Dantzig selector

Li, Feng; Lin, Lu; Su, Yuxia - In: Metrika 76 (2013) 2, pp. 225-238

variable selection and model fitting for linear and generalized linear models. In this paper we focus on variable selection and … parametric estimation for partially linear models via the Dantzig selector. Large sample asymptotic properties of the Dantzig …). Moreover, we obtain that the adaptive Dantzig selector estimator for the parametric component of partially linear models has …

Persistent link: https://www.econbiz.de/10010995013

An information theoretical algorithm for analyzing supersaturated designs for a binary response

Balakrishnan, N.; Koukouvinos, C.; Parpoula, C. - In: Metrika 76 (2013) 1, pp. 1-18

–Charvát entropy, and Tsallis entropy, on data and assuming generalized linear models for a Bernoulli response. This method is quite … advantageous as it enables us to use supersaturated designs for analyzing data on generalized linear models. Empirical study …

Persistent link: https://www.econbiz.de/10010995027

Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application

Srivastava, Prashant; Han, Dawei; Ramirez, Miguel; … - In: Water Resources Management 27 (2013) 8, pp. 3127-3144

machine, relevance vector machine and generalized linear models are chosen for this study to integrate the Moderate Resolution …

Persistent link: https://www.econbiz.de/10010997796

Common mortality modeling and coherent forecasts. An empirical analysis of worldwide mortality data

Hatzopoulos, P.; Haberman, S. - In: Insurance: Mathematics and Economics 52 (2013) 2, pp. 320-337

the framework of generalized linear models (GLM). The countries are first classified by fuzzy c-means cluster analysis in …

Persistent link: https://www.econbiz.de/10011046676

Resistant estimators in Poisson and Gamma models with missing responses and an application to outlier detection

Bianco, Ana M.; Boente, Graciela; Rodrigues, Isabel M. - In: Journal of Multivariate Analysis 114 (2013) C, pp. 209-226

not appropriate to establish the relation between the responses and the covariates. Generalized linear models serve this …

Persistent link: https://www.econbiz.de/10010594227