Analysis of Over-Dispersed Count Data: Application to Obligate Parasite Pasteuria Penetrans

Autor:	Ioannis Vagelas
Rok vydání:	2022
Předmět:	General Energy Geography Planning and Development General Environmental Science
Zdroj:	WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT. 18:333-339
ISSN:	2224-3496 1790-5079
DOI:	10.37394/232015.2022.18.33
Popis:	In this article we present with STATA regression models suitable for analyzing over-dispersed count outcomes. Specifically, the Negative Binomial regression can be an appropriate choice for modeling count variables, usually for over-dispersed count outcome variables. The common problem with count data with zeroes is that the empirical data often show more zeroes than would be expected under either Poisson or the Negative Binomial model. We concluded, this publications showcases that Zero-inflated models can be used to model count data that has excessive zero counts.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::990f687874d6d45ee6f0de3ecd9f28bb https://doi.org/10.37394/232015.2022.18.33 Zobrazit plný text záznamu