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| Teleken, Jhony Tiago; Galvão, Alessandro Cazonatto; Robazza, Weber da Silva. |
| The main objective of this study was to compare the goodness of fit of five non-linear growth models, i.e. Brody, Gompertz, Logistic, Richards and von Bertalanffy in different animals. It also aimed to evaluate the influence of the shape parameter on the growth curve. To accomplish this task, published growth data of 14 different groups of animals were used and four goodness of fit statistics were adopted: coefficient of determination (R2), root mean square error (RMSE), Akaike information criterion (AIC) and Bayesian information criterion (BIC). In general, the Richards growth equation provided better fits to experimental data than the other models. However, for some animals, different models exhibited better performance. It was obtained a possible... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Body weight gain; Richards model; Goodness of fit. |
| Ano: 2017 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/31366 |
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| Blain,Gabriel Constantino. |
| Several studies have applied the Kolmogorov-Smirnov test (KS) to verify if a particular parametric distribution can be used to assess the probability of occurrence of a given agrometeorological variable. However, when this test is applied to the same data sample from which the distribution parameters have been estimated, it leads to a high probability of failure to reject a false null hypothesis. Although the Lilliefors test had been proposed to remedy this drawback, several studies still use the KS test even when the requirement of independence between the data and the estimated parameters is not met. Aiming at stimulating the use of the Lilliefors test, we revisited the critical values of the Lilliefors test for both gamma (gam) and normal distributions,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Goodness of fit; Gamma distribution; Normal distribution. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052014000200015 |
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| Archer, Kellie J.; Lemeshow, Stanley. |
| After a logistic regression model has been fitted, a global test of goodness of fit of the resulting model should be performed. A test that is commonly used to assess model fit is the Hosmer–Lemeshow test, which is available in Stata and most other statistical software programs. However, it is often of interest to fit a logistic regression model to sample survey data, such as data from the National Health Interview Survey or the National Health and Nutrition Examination Survey. Unfortunately, for such situations no goodness-of-fit testing procedures have been developed or implemented in available software. To address this problem, a Stata ado-command, svylogitgof, for estimating the F-adjusted mean residual test after svy: logit or svy: logistic estimation... |
| Tipo: Journal Article |
Palavras-chave: Svylogitgof; Goodness of fit; Survey design; Svy; Logistic regression; Logit; Research Methods/ Statistical Methods. |
| Ano: 2006 |
URL: http://purl.umn.edu/117559 |
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