Sentence examples for variable experiments from inspiring English sources

A limited number of designs for mixture-process variable experiments are available in the literature.

In this paper, we examine flexible, optimal designs for realistic mixture-process variable experiments.

Factors affecting its output performance were investigated with single variable experiments.

Experiments that combine a mixture experiment with a factorial experiment are generally named mixture-process variable experiments.

According to the excitation power variable experiments, the three peaks can be attributed to the ground states (GS), the first excited states (ES1), and the second excited states (ES2), respectively.

Nonetheless a wealth of opportunities exists to further develop new and very innovative SSTT methods not only for characterizing standard mechanical properties but also to enable both large matrix single variable experiments and highly controlled basic mechanism studies.

We used a 2×2×5 mixed design with the between-subject variable "experiment version" (short vs. long) and the repeated measures "item type" (old vs. novel) and "group opinion" (0 to 4 correct responses by the confederates).

The fact that the time allowed for decision was an influential variable (Experiment 1) also suggests that hedonicity is the fundamental mechanism that takes place in emergency when there is no time for deep evaluation.

Baetu, drawing on his own experimental research in molecular oncology, shows that scientists probe the mechanical link by performing "two-variable experiments".

But these one-variable experiments, Baetu cautions, do not necessarily provide information about the causal mechanism that links X to Y. Is X causally relevant to Y by way of mechanism A, mechanism B, or some other unknown mechanism?

On a manipulationist account of causal relevance, some factor X is determined to be causally relevant to some outcome Y when interventions on X can be shown to produce the change in Y. Experiments from molecular biology often take this form, which Baetu calls "one-variable experiments" because they involve a single intervention made on X in the experiment to establish the causal relevance to Y.