Sentence examples for great number of variables from inspiring English sources

There may be a great number of variables with different kinds of interactions and delays compared to each other.

The theoretical evaluation of the mechanical properties of fractured rock masses has no satisfactory answer because of the great number of variables involved.

A great number of variables are considered relevant to the interfacial forces in adhesive mixtures, but their effects have mostly been investigated individually, without taking account of the influence they may have on each other.

The design of headers, in most cases, is still based on an empirical approach, due to the great number of variables which act together, that is, geometrical parameters, operating conditions and fluid properties.

A great number of variables such as the delivery technique utilized, the time of application within the canal, the presence of an aqueous solution that would affect the absorption of the laser beam, and the power settings utilized might have influenced previously reported results.

PLSR is a multivariate statistical technique particularly useful in genomic studies in which a great number of variables are involved.

First, this factor analysis is applied to derive maximum variance from the data set with individual components; hence, it serves to decrease a greater number of variables into a fewer number of components (Tabachnick and Fidell 1996).

Third, given that in most countries the variance in performance between students exceeds the variance in performance between schools, it is necessary to seek out in the student questionnaire a greater number of variables for inclusion that can be used subsequently to describe performance differences between students.

We investigated whether the higher AUC of our weather models was due to the greater number of variables than in our climate models by running our weather models for each species with only four weather variables.

The earlier analyses with the frailty index have suggested that a greater number of variables is required to ensure stability in the modeling,[28] so these techniques were applied to the CSHA data, which had a high enough number of variables to yield stable estimates.

This study has demonstrated that the extended EDI and image analysis combined can produce reliable, more detailed and objective data through assessment of a greater number of variables.