Sentence examples for used a multivariate version from inspiring English sources
In an attempt to keep all the structure in a preceding inter-spike interval sequence we used a multivariate version of the mutual information calculation.
Burgueño et al. (2012) analyzed multienvironment data using a multivariate version of the genomic best linear unbiased predictor (GBLUP).
Because in natural systems, selection is likely to act on a set of traits simultaneously, genetic correlations between traits must be accounted for using a multivariate version of the breeder's equation: R = Gβ, where G is the additive genetic covariance matrix and β is the selection gradient (Lande and Arnold 1983; Hill and Kirkpatrick 2010).
The number of clones allocated to the three methylation categories was compared between the two types of experimental groups (NZ versus OAT and normal sperm-enriched versus defective germ cell-enriched fractions) using a multivariate version of Fisher's exact test.
More specifically, the number of clones allocated to each methylation category varied significantly when comparing between the NZ and OAT groups using a multivariate version of Fisher's exact test (P< 0.001 for fractions enriched either in normal or defective germ cells; Fig. 1).
To test whether prior awareness or comprehension mediated the age or version effects, we used a multivariate model.
To develop predictive models, we used a multivariate analysis based on multiple linear regression as contained in the program AMOS version 5 (Small Waters Corp).
Genetic correlations among stalk rot traits were estimated from least square means obtained from the combined analysis using a multivariate model in ASReml version 3 (Gilmour et al. 2009).
Group differences between two groups of surfaces were tested using a multivariate metric: Hotelling's T-squared test which is a multivariate version of Student's t statistic.
We develop here a multivariate version of the Bayes methodology for joint mapping of QTLs, using the Markov chain Monte Carlo (MCMC) algorithm.
We are currently developing a multivariate version of the approach that is less ad hoc in improving power, by using multiple predictors at the last-stage regression.
