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| Silva,Edilson Marcelino; Furtado,Thais Destefani Ribeiro; Fernandes,Jaqueline Gonçalves; Cirillo,Marcelo Ângelo; Muniz,Joel Augusto. |
| ABSTRACT: Coffee crops play an important role in Brazilian agriculture, with a high level of social and economic participation resulting from the jobs created in the supply chain and from the income obtained by producers and the revenue generated for the country from coffee bean export. In coffee plant growth, leaves have a determinant role in higher production; therefore, the leaf count per plant provides relevant information to producers for adequate crop management, such as foliar fertilizer applications. To describe count data, the Poisson model is the most commonly employed model; when count data show overdispersion, the negative binomial model has been determined to be more adequate. The objective of this study was to compare the fitness of the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Poisson model; Negative binomial model; Exponential family; Generalized linear model. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000400201 |
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