Examples of multinomial

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Our logistic regression model allows haplotype-based parameterization and maximization of the likelihood function built upon the multinomial distribution of the observed multi-locus genotypes.
Second, for each question, to explore related factors, multinomial or binomial logistic regression analysis was conducted with background factors as explanatory variables.
However, the neutral value varies according to whether the data are put to a binomial or a multinomial analysis.
For multinomial probit estimations, issue variables and party identification enter the model as choice-specific variables while all the others enter as individual-specific ones.
The swimbladder degenerative index was fitted by a multinomial ordinal distribution using a logit-link function.
We next define the multinomial coefficients for multi-sets.
Genetic risk factors for suicidality were examined in a multinomial logistic regression model.
This indicates that there is considerable heterogeneity among respondents, in terms of their responses to these variables, that the standard multinomial model did not capture.
Multinomial regressions analyses were used to predict joint trajectory group membership from selected child and family variables measured at 2 years.
Other process models, such as signal detection theory, multinomial models, and connectionist models, have recently made entries into the social psychological literature as well.
If this extra source of variation depends in the same way on chromosome frequency as does multinomial sampling, then the theory presented above still applies.
Hierarchical multinomial logistic regressions were used to predict patterns of social exchange, variations by ethnicity, income and education, and the interactions.
This is effectively equivalent to a multinomial logistic regression.

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