Sentence examples for multiple variables are from inspiring English sources

The optimal properties of information-theoretic terms in assessing variability and correlation between multiple variables are familiar to the machine learning and statistics communities but perhaps not well known in fields of epidemiology and medical statistics.

The credible intervals are increased as multiple variables are combined.

Rather than changing only one variable at a time, multiple variables are changed between experimental runs in order to isolate interaction effects between control parameters.

As a first step, the relationships between these multiple variables are investigated using Spearman's Rank Order Correlation (rho), which can describe the strength and direction of relationships.

Note that this paper focuses on examining the optimum conditions for removal of humic substances when multiple variables are considered simultaneously; the information derived is particularly important for scaling up operation.

When multiple variables are enabled to change, one of them is chosen arbitrarily.

Statistical evaluation of multiple variables was performed.

Multiple variables were tested and their impact on productivity metrics examined.

Making sense of big data sets with multiple variables is a classic challenge for the field of machine learning.

Optimizing for multiple variables is notoriously challenging; even when leaders unambiguously express their commitment to social and environmental goals by, for example, modifying their corporate mission statements, they face major tradeoffs.

Single and multiple variables were used to develop empirical models to predict PM2.5 concentrations for each of the five significant scales of the corresponding seasons (Table 3).