1. A COMPARISON AMONG TWO GENERALIZED BETA-MIXTURES OF POLISICCHIO DISTRIBUTIONS AND THE ZENGA MODEL.
- Author
-
De Capitani, Lucio and Zini, Alessandro
- Subjects
MIXTURE distributions (Probability theory) ,GAUSSIAN distribution ,HYPERGEOMETRIC distribution ,PARSIMONIOUS models ,GOODNESS-of-fit tests - Abstract
In this paper, the performances in fitting incomes of three different mixtures of Polisicchio distributions are compared. The considered mixtures are: the three-parameters Zenga distribution (beta mixture of Polisicchio distributions); the Generalized Zenga Distribution (confluent-hypergeometric mixture of Polisicchio distributions) which is characterized by four parameters; and a new fiveparameters distribution defined by the Gauss-hypergeometric mixture of Polisicchio distributions. The performances of these distributions are compared in several applications showing that the behavior of the five-parameters model is substantially replicated by the more parsimonious Generalized Zenga Distribution which provides a sensible improvement in the goodness-of-fit with respect to the Zenga model when personal incomes are considered. [ABSTRACT FROM AUTHOR]
- Published
- 2013