Data/hora: 03/06/2024 03:06:43

Provedor de dados: | 63
País: | Brazil
Título: | Methods to verify parameter equality in nonlinear regression models
Autores: | Carvalho,Lídia Raquel de; Pinho,Sheila Zambello de; Mischan,Martha Maria.
Data: | 2010-04-01
Ano: | 2010
Palavras-chave: | Logistic model; Treatments comparison.
Resumo: | In biologic experiments, in which growth curves are adjusted to sample data, treatments applied to the experimental material can affect the parameter estimates. In these cases the interest is to compare the growth functions, in order to distinguish treatments. Three methods that verify the equality of parameters in nonlinear regression models were compared: (i) developed by Carvalho in 1996, performing ANOVA on estimates of parameters of individual fits; (ii) suggested by Regazzi in 2003, using the likelihood ratio method; and (iii) constructing a pooled variance from individual variances. The parametric tests, F and Tukey, were employed when the parameter estimators were near to present the properties of linear model estimators, that is, unbiasedness, normal distribution and minimum variance. The first and second methods presented similar results, but the third method is simpler in calculations and uses all information contained in the original data.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162010000200014
Editor: | São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"
Relação: | 10.1590/S0103-90162010000200014
Formato: | text/html
Fonte: | Scientia Agricola  v.67 n.2 2010
Fonte: | info:eu-repo/semantics/openAccess