Separate regression modelling of the Gaussian and Exponential components of an EMG response from respiratory physiology.

Risultato della ricerca: Other

Abstract

If Y1 \sim N(\mu ;\sigma^2) and Y2 \sim Exp(\nu), with Y1 independent of Y2, then their sum Y = Y1 +Y2 follows an Exponentially Modified Gaussian (EMG) distribution. In many applications it is of interest to model the two components separately, in order to investigate their (possibly) different important predictors.We show how this can be done through a GAMLSS with EMG response, and apply this separate regression modelling strategy to a dataset on lung functionvariables from the SAPALDIA cohort study.
Lingua originaleEnglish
Pagine189-194
Numero di pagine6
Stato di pubblicazionePublished - 2014

Fingerprint Entra nei temi di ricerca di 'Separate regression modelling of the Gaussian and Exponential components of an EMG response from respiratory physiology.'. Insieme formano una fingerprint unica.

Cita questo