Biparametric zero-modified power series distributions: Bayesian analysis under a reference prior approach
| Autor: | Katiane S. Conceição, Marinho G. Andrade, Vera Tomazella, Francisco Louzada |
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| Rok vydání: | 2017 |
| Předmět: |
Statistics and Probability
Power series PROBABILIDADE 05 social sciences Bayesian probability Zero (complex analysis) Sample (statistics) Extension (predicate logic) computer.software_genre 01 natural sciences 010104 statistics & probability Distribution (mathematics) 0502 economics and business Data mining 0101 mathematics computer 050205 econometrics Count data Mathematics |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| ISSN: | 1532-415X 0361-0926 |
| DOI: | 10.1080/03610926.2016.1236960 |
| Popis: | This paper presents a Bayesian approach by considering a reference prior for estimating the parameters of biparametric zero-modified power series (ZMPS) distributions. The ZMPS distribution is an extension of the power series (PS) distribution family, allowing it to be adjusted to count data without previous knowledge of frequency of zero observations in the sample (e.g., zero-inflated or zero-deflated datasets). Simulation studies are presented in order to illustrate the performance of the proposed methodology. Applications of the proposed methodology involve the analysis of three real datasets. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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