multinomial
polynomial

Using multinomial regression on the sales data however will not tell us what we want to know.

Various methods may be used to simulate a multinomial distribution.

In practice the multinomial coefficient is usually removed from the calculation.

In the two cases, the result is a multinomial distribution with k categories without any correlation.

Furthermore, each topic defines a multinomial distribution over a set of terms.

This is the origin of the name "multinomial distribution".

All of the multinomial coefficients for which the following holds true:

Draw random samples of size 230 and 400 from the two multinomial populations defined above.

Models used in binomial regression can often be extended to multinomial data.

An introduction to the imprecise Dirichlet model for multinomial data.

However, conflating the categorical and multinomial distributions can lead to problems.

Then we get the following test statistic for negative multinomial distributed data:

This provides a quick way to generate a lookup table for multinomial coefficients.

Multinomial choice models can further be classified according to the model specification:

Their conditional distributions are assumed to be binomial or multinomial.

"Inferences from multinomial data: learning about a bag of marbles (with discussion)".

An example of the multivariate case is the multinomial distribution with known number of trials.

This leads to the Bag of words model, and turns out to generate a multinomial distribution over words.

Turing at first modeled the frequencies as a multinomial distribution, but found it inaccurate.

The multinomial unigram language model is commonly used to achieve this.

It connects the categorical distribution with the related multinomial distribution.

A single vector-valued variable , distributed according to a multinomial distribution.

In this model, the multinomial distributions and are generated from and , respectively.

For categorical variables with more than two values there is the multinomial logit.

Suppose is generalized Dirichlet, and that is multinomial with trials (here ).

For a basis-independent definition of 'polynomial' nothing is lost by referring to the symmetric powers of the given linear representation of Γ.

Kett petitioned King Edward VI of England with a large number of demands: The 'polynomial remainder theorem' in algebra is an application of polynomial long division.

To say that a finitely generated group has 'polynomial growth' means the number of elements of length (relative to a symmetric generating set) at most 'n' is bounded above by a polynomial function 'p'('n').