Examples of using Multinomial in English and their translations into Portuguese
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The Table 3 showed the multinomial logistic regression analysis.
Multinomial logistic regression final model is presented in Table 2.
Table 3 shows the results of multinomial logistic regression.
Function: multinomial(r, part) where r is the weight of the partition part.
The study showed similar results, which described the multinomial model.
People also translate
The multinomial logistic regression has the following specification.
Turing at first modelled the frequencies as a multinomial distribution, but found it inaccurate.
Initially, a multinomial univariate analysis was performed within each domain.
The variables included in the multivariate model of multinomial logistic regression are presented in Table 3.
Multinomial logistic regression was used in the multivariate analysis.
The second step refers to the multinomial logistic regression model, considering two outcomes.
Multinomial regression was used to control for confounders and to estimate measures of effect.
The Balding-Nichols model The multinomial distribution, a generalization of the binomial distribution.
Table 5 shows the factors associated to simultaneous risk behaviors according to multinomial regression.
The analysis used multinomial logistic regression with a hierarchical model.
Some operators are only meaningful for combining binomial opinions, andsome also apply to multinomial opinion.
Built-in multinomial audio-video upgrading technology, with high anti-interface ability.
The chi-square test was used for binomial variables andthe Kruskal-Wallis test for multinomial variables.
Table 2presents the results of multinomial logistic risk factors of different categories of anemia.
The weights restrictions are estimated as additional parameters of the model,using the multinomial family for the adjustment.
Application of multinomial models and their adequacy for case-control studies are discussed.
Analytical procedures included descriptive statistics and multivariate modeling binary and multinomial logistic regression.
On the other hand, multinomial regression did not indicate a link between athletic internalization and restrictive eating.
A generalisation of the logistic function to multiple inputs isthe softmax activation function, used in multinomial logistic regression.
Table 2- Multinomial logistic regression analysis to assess factors independently associated with normal and low self-esteem.
Gender, infection foci, and time between groups were analyzed using the Goodman test for contrasts between multinomial populations.
The multivariate analysis was done through multinomial logistic regression, with calculations of the simple and adjusted odds ratios OR.
Multinomial logistic regression was used to calculate odds ratios for prospective changes in lifestyle and changes in self-rated health among students.
Also a novel method of analysis for periodic broadcast using multinomial coefficients is introduced, as well as a method that considers a geometric distribution approach.
The multinomial analysis was carried out using the Generalized Linear Model GLM with binomial distribution and the logistic link function.