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Semiparametric M-quantile regression for count data
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Semiparametric M-quantile regression for count data
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Semiparametric M-quantile regression for count data
Semiparametric M-quantile regression for count data
Journal Article

Semiparametric M-quantile regression for count data

2014
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Overview
Lung cancer incidence over 2005–2010 for 326 Local Authority Districts in England is investigated by ecological regression. Motivated from mis-specification of a Negative Binomial additive model, a semiparametric Negative Binomial M-quantile regression model is introduced. The additive part relates to those univariate or bivariate smoothing components, which are included in the model to capture nonlinearities in the predictor or to account for spatial dependence. All such components are estimated using penalized splines. The results show the capability of the semiparametric Negative Binomial M-quantile regression model to handle data with a strong spatial structure.
Publisher
SAGE Publications,Sage Publications Ltd