Tools for assessing goodness of fit of GLMs: icase studies in entomology (2023)
- Authors:
- Autor USP: MORAL, RAFAEL DE ANDRADE - ESALQ
- Unidade: ESALQ
- Subjects: ENTOMOLOGIA; INSETOS; MODELOS LINEARES GENERALIZADOS; R (SOFTWARE ESTATÍSTICO)
- Keywords: Análise residual
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Modelling insect populations in agricultural landscapes
- Volume/Número/Paginação/Ano: 238 p. : il
-
ABNT
JAYUKUMARI, Darshana et al. Tools for assessing goodness of fit of GLMs: icase studies in entomology. Modelling insect populations in agricultural landscapes. Tradução . Cham: Springer, 2023. p. 238 : il. . Acesso em: 28 dez. 2025. -
APA
Jayukumari, D., Hinde, J., Einbeck, J., & Moral, R. de A. (2023). Tools for assessing goodness of fit of GLMs: icase studies in entomology. In Modelling insect populations in agricultural landscapes (p. 238 : il). Cham: Springer. -
NLM
Jayukumari D, Hinde J, Einbeck J, Moral R de A. Tools for assessing goodness of fit of GLMs: icase studies in entomology. In: Modelling insect populations in agricultural landscapes. Cham: Springer; 2023. p. 238 : il.[citado 2025 dez. 28 ] -
Vancouver
Jayukumari D, Hinde J, Einbeck J, Moral R de A. Tools for assessing goodness of fit of GLMs: icase studies in entomology. In: Modelling insect populations in agricultural landscapes. Cham: Springer; 2023. p. 238 : il.[citado 2025 dez. 28 ] - Modelagem estatística e ecológica de relações tróficas em pragas e inimigos naturais
- Statistical modelling of data from insect studies
- Understanding the role of conditional residual distances from simulated envelopes in half normal plots
- Modelling insect populations in agricultural landscapes [Preface]
- Action potentials in abscisic acid-deficient tomato mutant generated spontaneously and evoked by electrical stimulation
- Modelling insect populations in agricultural landscapes
- Introduction
- Multi-state models for double transitions associated with parasitism in biological control
- Introducing different modelling scenarios to entomologists
- Diagnostics for categorical response models based on quantile residuals and distance measures
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