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.
|Numero di pagine||4|
|Stato di pubblicazione||Published - 2015|