Modelling a proportion response variable using generalised additive models for location scale and shape

Risultato della ricerca: Other

Abstract

In this paper two alternative approaches are proposed to model aresponse variable Y measured on the interval from zero to one, including both zeroand one. The first proposed model employs a flexible four parameter distributionfor 0 < Y < 1, for example a logit skew exponential power distribution, inflatedby including point probabilities at 0 and 1. The second proposed model is ageneralised Tobit model, obtained from a flexible four parameter distributionon (-infinity;+infinity), for example the skew exponential power distribution, by censoringbelow 0 and above 1. The proposed models are applied to a real data set andcompared with current popular models.
Lingua originaleEnglish
Numero di pagine4
Stato di pubblicazionePublished - 2015

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