Zero-modified power series distribution and its Hurdle distribution version. Issue 9 (13th June 2017)

• Record Type: Journal Article
• Authors: Conceição, K. S.; Louzada, F.; Andrade, M. G.; Helou, E. S.
• Is Part Of: Journal of statistical computation and simulation. Volume 87:Issue 9(2017)
• Page Start: 1842
• Page End: 1862
• Publication Date: 2017-06-13
• Subjects: Zero-inflation -- zero-deflation -- power series distribution -- zero-truncated distribution -- Hurdle model; 62 (Statistics) -- 62E (Distribution theory) -- 62F (Parametricinference); Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5028505
• DOI: 10.1080/00949655.2017.1289529
• Languages: English
• ISSNs: 0094-9655

Abstract

ABSTRACT: This paper presents a new family of distributions for count data, the so called zero-modified power series (ZMPS), which is an extension of the power series (PS) distribution family, whose support starts at zero. This extension consists in modifying the probability of observing zero of each PS distribution, enabling the new zero-modified distribution to appropriately accommodate data which have any amount of zero observations (for instance, zero-inflated or zero-deflated data). The Hurdle distribution version of the ZMPS distribution is presented. PS distributions included in the proposed ZMPS family are the Poisson, Generalized Poisson, Geometric, Binomial, Negative Binomial and Generalized Negative Binomial distributions. The paper also describes the properties and particularities of the new distribution family for count data. The distribution parameters are estimated via maximum likelihood method and the use of the new family is illustrated in three real data sets. We emphasize that the new distribution family can accommodate sets of count data without any previous knowledge on the characteristic of zero-inflation or zero-deflation present in the data.