Sentence examples for by using a multinomial from inspiring English sources

The results in a frequency domain were changed into a time domain by using a multinomial cosine transform method.

To model the simultaneous exceedance of both chemicals, two types of Logistic Regression (LR) models were developed by (a) treating arsenic and nitrate independently and combining the marginal probabilities of their exceedance, and (b) treating the two exceedances together by using a multinomial model.

In each iteration, the (complex) reference distribution is approximated using a simple probability distribution; we illustrate the method by using a multinomial distribution, whose parameters are estimated by maximum likelihood estimation in each iteration, using the conformations generated in the previous iteration.

For genotypes in which both of the parental alleles were observed or less than five reads were aligned, we calculated the probability of a certain read count ratio to result from homozygous or heterozygous genotypes by using a multinomial distribution.

Odds ratios are calculated by using a multinomial logistic regression model predicting WMH categories with participants who had no history of severe headache and who were in the lowest third for WMH volume as reference group.

Odds ratios are calculated by using a multinomial logistic regression model with participants who had no history of severe headache and who were in lowest third for WMH volume as reference group.

Here we describe a method to monitor changes in habitat types by producing sequential maps based on point information followed by mapping using a multinomial logit regression model with abiotic variables of which maps are available as predictors.

We tested the relationship between the analyzed polymorphisms and tumour location (oral cavity, oropharynx, hypopharynx and larynx cancer) [ 3] by using a logistic multinomial regression analysis, using healthy controls as the reference group.

A joint discrete continuous modeling framework allows us to examine the tendency to travel by different modes using a multinomial structure, and trip length using a hazard formulation.

For these four SNPs, MI p-values (χ based and exact) were obtained by performing 50 imputations using a multinomial logit model with two flanking SNPs as predictors.

"This estimation is done using a multinomial logit framework with past test scores, demographics and socioeconomic characteristics as explanatory variables".