In this paper, we analyze a sport (in)activity case study using a zero inflated bivariate Poisson model. We use the “(in)activity” term in order to embrace both active and passive sport participation (practicing or watching a sport, respec- tively). The paper investigates the determinants of sport (in)activity: the frequency and the probability of sports participation. It distinguishes between genuine “non- participants” and the ones who do not participate at a time of the survey but might under different circumstances.

Zero Inflated Bivariate Poisson Regression Models for a sport (in)activity Data Analysis / M. Iannario, I. Ntzoufras, C. Tarantola (SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS). - In: Models for Data Analysis / [a cura di] E. Brentari, M. Chiodi, E.-J. Camiel Wit. - [s.l] : Springer, 2023. - ISBN 978-3-031-15884-1. - pp. 161-173 (( convegno SIS tenutosi a Palermo nel 2018.

Zero Inflated Bivariate Poisson Regression Models for a sport (in)activity Data Analysis

C. Tarantola
2023

Abstract

In this paper, we analyze a sport (in)activity case study using a zero inflated bivariate Poisson model. We use the “(in)activity” term in order to embrace both active and passive sport participation (practicing or watching a sport, respec- tively). The paper investigates the determinants of sport (in)activity: the frequency and the probability of sports participation. It distinguishes between genuine “non- participants” and the ones who do not participate at a time of the survey but might under different circumstances.
Bivariate Poisson distribution; Paired count data; Sport; Zero inflated distributions
Settore SECS-S/01 - Statistica
2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1074408
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