Search Results - subject:"Generalized Linear Models"

Health care costs and their predictors of inflammatory bowel diseases in Germany

Prenzler, Anne; Bokemeyer, Bernd; Schulenburg, J.-Matthias - In: The European Journal of Health Economics 12 (2011) 3, pp. 273-283

Persistent link: https://www.econbiz.de/10009149805

Fuzzy clusterwise quasi-likelihood generalized linear models

Hwang, Heungsun; Tomiuk, Marc - In: Advances in Data Analysis and Classification 4 (2010) 4, pp. 255-270

Persistent link: https://www.econbiz.de/10008775843

Monitoring heterogeneous serially correlated usage behavior in subscription-based services

Samimi, Y.; Aghaie, A. - In: Journal of Applied Statistics 37 (2010) 10, pp. 1761-1777

of first order. The autocorrelated observations are derived from a two-state Markov chain model. Generalized linear … models are employed to describe heterogeneous behavior across customers. In order to monitor the number of visits as well as …

Persistent link: https://www.econbiz.de/10008674966

Penalized regression with individual deviance effects

Perperoglou, Aris; Eilers, Paul - In: Computational Statistics 25 (2010) 2, pp. 341-361

Persistent link: https://www.econbiz.de/10008515567

Sales effectiveness and competitive dynamics : a Bayesian longitudinal analysis

Keller, Jens - 2010

Persistent link: https://www.econbiz.de/10008666547

Bayesian inference for finite mixtures of generalized linear models with random effects

DeSarbo, Wayne S.; Lenk, Peter J. - 2000

We present an hierarchical Bayes approach to modeling parameter heterogeneity in generalized linear models. The model …

Persistent link: https://www.econbiz.de/10009476617

Empirical model selection in generalized linear mixed effects models

Lavergne, Christian; Martinez, Marie-José; Trottier, … - In: Computational Statistics 23 (2008) 1, pp. 99-109

Persistent link: https://www.econbiz.de/10005613167

Logistic Mixtures of Generalized Linear Model Times Series

Jeffries, Neal O. - 1998

In this dissertation we propose a class of time series models for mixture data. We call these logistic mixtures. In such models the mixture's component densities have a generalized linear model (GLM) form. The regime probabilities are allowed to change over time and are modeled with a logistic...

Persistent link: https://www.econbiz.de/10009450907

Multiple Testing Issues in Discriminating Compound-Related Peaks and Chromatograms from High Frequency Noise, Spikes and Solvent-Based Noise in LC – MS Data Sets

Nyangoma, Stephen; Kampen, Antoine van; Reijmers, Theo; … - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 23-23

spikes from true signals. The role of the Generalized Linear Models (GLM) in this MTP is investigated. The method is applied …

Persistent link: https://www.econbiz.de/10005046626

Local linear regression for generalized linear models with missing data

Wang, C.Y.; Wang, Soujin; Carroll, Raymond J.; … - 1997

Fan, Heckman and Wand (1995) proposed locally weighted kernel polynomial regression methods for generalized linear … models and quasilikelihood functions. When the covariate variables are missing at random, we propose a weighted estimator …

Persistent link: https://www.econbiz.de/10010310756