multinomial Antonyms

No Synonyms and anytonyms found

Meaning of multinomial

Wordnet

multinomial (n)

a mathematical function that is the sum of a number of terms

Wordnet

multinomial (a)

having the character of a polynomial

Webster

multinomial (n. & a.)

Same as Polynomial.

multinomial Sentence Examples

  1. The multinomial distribution is widely used in discrete probability theory.
  2. Multinomial regression is a statistical technique for modeling the relationship between independent categorical variables and a multinomial response variable.
  3. The multinomial distribution describes the probability of observing a set of independent outcomes, each with a fixed number of categories.
  4. The parameters of a multinomial distribution are the number of trials and the probabilities of each category.
  5. Multinomial coefficients can be used to calculate the probability of specific outcomes in a multinomial distribution.
  6. Log-linear models are commonly used to analyze multinomial data.
  7. Multinomial logistic regression is a variant of logistic regression for modeling multinomial outcomes.
  8. Bayesian analysis can be used to estimate parameters in a multinomial distribution.
  9. The multinomial distribution is a special case of the Dirichlet distribution.
  10. Multinomial sampling is a sampling technique for selecting data points from a multinomial distribution.

FAQs About the word multinomial

a mathematical function that is the sum of a number of terms, having the character of a polynomialSame as Polynomial.

No synonyms found.

No antonyms found.

The multinomial distribution is widely used in discrete probability theory.

Multinomial regression is a statistical technique for modeling the relationship between independent categorical variables and a multinomial response variable.

The multinomial distribution describes the probability of observing a set of independent outcomes, each with a fixed number of categories.

The parameters of a multinomial distribution are the number of trials and the probabilities of each category.