Sentence examples for model of quantitative from inspiring English sources

Conditional trimorphisms have recently been unveiled, and here we combine the rock-paper-scissors (RPS) model of game theory and the environmental threshold (ET) model of quantitative genetics to model trimorphisms that are environmentally induced and result from the expression of two thresholds.

Fig. 1 Measurement model of quantitative literacy.

Wilkins (in press, 2010) validated a three-factor model of quantitative literacy that incorporated the multiple aspects of quantitative literacy into one measure.

The purpose of this study is to examine the construct validity of this hierarchical three-factor model of quantitative literacy for three cohorts of elementary-aged students.

Based on the earlier model testing, a baseline multigroup model of quantitative literacy consistent with theory (Wilkins, in press, 2010) has now been created and found to fit the data from each cohort reasonably well.

In order to test for differences in quantitative literacy across the three different cohorts, it was necessary to build and test a baseline measurement model of quantitative literacy (QLT model) for these elementary-aged students.

Mathematical modeling of Quantitative Structure – Property Relationships met great interest in fields of in silico drug design and more recently, pharmaceutical analysis.

The screening of novel materials with good performance and the modelling of quantitative structure-activity relationships (QSARs), among other issues, are hot topics in the field of materials science.

However, although the measures for the beliefs component had to be modified because there was not a complete set of belief measures, the data included measures consistent with the earlier models of quantitative literacy (Wilkins, in press, 2010).

Using structural equation modeling of quantitative data from two industry contexts, we explore the direct [indirect] relationships of recycling convenience, eco-friendly practices, and ethical behavior with customer satisfaction [customer loyalty].

Probability modeling of quantitative peak data as described above can account for both situations.