Sentence examples for multinomial distribution analysis from inspiring English sources

A multinomial distribution analysis on the frequency with which these base pairs were selected yielded a p value of 1.4 × 10-17.

A multinomial distribution analysis was used to determine if the presence of these mutant sequences was a statistically significant event, resulting in a p value of 4.2 × 10-9.

In order to calculate the probability distribution of the outcomes, a multinomial distribution statistical analysis has been performed determining, for all the groups, singularly and overall an interval of confidence at 95%%.

To test the association between three or more categorical variables, a log-linear analysis assuming a multinomial distribution was performed.

ANACONDA is publicly available at http://bioinformatics.ua.pt/submited-papers). Briefly, this methodology counts all consecutive pairs of codons and uses statistical analysis for contingency tables where a multinomial distribution is assumed (Figure 1B).

For the within-study model we used the multinomial distribution instead of the summary statistic approach usually followed in meta-analysis.

The bivariate model was extended using a multinomial distribution for the cell counts in the 2 x 2 tables, as in the latent class analysis of diagnostic tests (Black 2002).

We carried out a Bayesian analysis of contingency tables in the line of Jamil et al. (2015), using a joint multinomial distribution as distribution.

Dirichlet distribution is the priori conjugate distribution of multinomial distribution.

The preference scales analysis was done by a Bayesian analysis of contingency tables in the line of Tahira Jamil, Morey, Love, Marsman, and Wagenmakers (2017), using a joint multinomial distribution as prior distribution.

'Dir' denotes the Dirichlet distribution, 'Mult' denotes the multinomial distribution, and ' ' denotes the Gaussian distribution.