The phrase "a weighting experiment" is correct and usable in written English.
It can be used in contexts related to scientific research, statistical analysis, or any scenario where different factors are assigned different levels of importance or influence.
Example: "In our study, we conducted a weighting experiment to determine how various factors affected the overall outcome."
Alternatives: "a weighting test" or "a weighted analysis".
At this point it is important to note that all of our apes were naïve to weight experiments but had participated earlier in experiments involving visual discrimination.
The standard and simple analysis of a drop weight experiment assumes the weight is a rigid body to which Newton's laws of motion apply.
The paper has presented the results of a weight elicitation experiment within a decision problem relating to transport projects.
Experiments were conducted in a fasted state (except for the body weight experiment), with the food removed for 12 h (from 8 PM to 8 AM) and free access to water.
The studies featured a word-learning task in which words were attached to small boxes that differed regarding their weight (Experiments 2 to 4 in Alban & Kelley, 2013) or in which clipboards used to write down metacognitive judgments differed in their weight (Experiment 1 in Alban & Kelley, 2013).
The green plot represents the results of the combined approach including planning and learning with uniformly distributed weights (experiment e 3) for selecting search nodes either globally, based on their Q-values, or locally, as described before.
The new composite seems to be encouraging, i.e., an HDPE/PET composite with 40 60 ratio, in weight, experiments a stiffness recovery from the third to the fourth recycle.
This paper describes a series of drop-weight experiments performed on pentaerythritol tetranitrate (PETN) and cyclotrimethylene trinitramine (RDX).
The score incorporates a weight for each experiment that is inversely proportionally to the number of genes upregulated in the study.
In addition, as described next, it incorporates a weight for each experiment similar to the inverse variance weighting used for combining effect sizes (or inverse document frequency weighting used in information retrieval applications).
