Examples of 'multinomial' in a sentence
Meaning of "multinomial"
Multinomial is a noun that refers to a mathematical expression consisting of more than one term
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How to use "multinomial" in a sentence
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multinomial
Multinomial choice without correlation among alternatives.
Results of the multinomial logistic regression.
Multinomial choice with correlation among alternatives.
This is what is known as the general multinomial coefficient.
Multinomial logistic regression was used to determine the.
The authors estimated two multinomial logit models.
Multinomial logistic regression was used in the multivariate analysis.
He also worked on the multinomial theorem.
Visualising multinomial opinions can be challenging.
Further information is available at binomial coefficient and multinomial coefficient.
Multinomial modeling and the measurement of cognitive processes.
Different links g lead to multinomial logit or multinomial probit models.
The multinomial logistic regression has the following specification.
Compound negative multinomial distribution.
Multinomial logistic regression was used for the analysis.
See also
Negative factorial multinomial distribution.
But the multinomial case is slightly different as described above.
Each column can therefore be regarded as an independent multinomial distribution.
We applied multinomial logistic regression models separately by sex.
One form of multivariate analysis is the multinomial logistic regression.
The multinomial probit model have just one equation.
The main method of analysis was multinomial logistic regression.
Method to perform a statistical test in which the experiment is multinomial.
The main method of analyzing was multinomial logistic regression.
Multinomial coefficient generalization.
The transitions probabilities are estimated using multinomial logistic regressions.
Multinomial international certification.
The methodologies used are multinomial logistic regression and discriminant analysis.
These theoretical results are based on an approximation for the multinomial distribution.
Are called multinomial coefficients.
Multinomial regression was used to control for confounders and to estimate measures of effect.
Generalised multinomial distribution.
Multinomial logistic regression and multinomial probit regression for categorical data.
Generalized multinomial distribution.
These distributions may be compared with the results of a multinomial logit regression.
Bivariate multinomial distribution.
We use a discrete choice model approach with a multinomial logit pecl cation.
Bivector multinomial distribution.
The determinants of formality and ownership choices were examined using a multinomial logit framework.
Inverse multinomial sampling.
For categorical variables with more than two values there is the multinomial logit.
Random multinomial logit.
Analytical procedures included descriptive statistics and multivariate modeling binary and multinomial logistic regression.
Are the multinomial coefficients.
Below we use the nomreg command to estimate a multinomial logistic regression model.
A multinomial option methods.
Which is a multinomial series.
Multinomial logistic regression is useful for modeling probabilities of multiple category outcomes simultaneously.
Causal factors were investigated with the aid of multinomial linear regression informed by theory.
Expansion of a multinomial with real coefficients into linear and quadratic factors.
