Sentence examples for level of inference from inspiring English sources
The phrase "level of inference" is correct and usable in written English
It can be used when discussing the degree or extent to which conclusions are drawn from data or observations. Example: "The level of inference in this study is crucial for understanding the implications of the results."
A conceptual framework for evaluation of IVM is designed, based on considerations of the selection of indicators, level of inference, cluster size and method of evaluation.
Guidance is given, in order FCM users to choose the most suitable type of FCM, according to (a) the nature of the problem, (b) the required representation capabilities of the problem and (c) the level of inference required by the case.
This additional level of inference requires a biophysical model for the diffusion properties of the tissue fibers.
For all TBSS analyses reported herein, significance level was set as two-tailed family-wise-error (FWE) corrected probability level <0.05 at the cluster level of inference.
The lowest level of inference that can be made here for Symbiodinium is the variation in ITS2 sequences within Colonies(S R)) relative to the variation among Colonies(S R)), denoted as ΦC(S R)).
The other level of inference is the model comparison so as to assess the more plausible model.
However, given the potential complexity of systems pharmacology models and the level of inferences made, specific documentation requirements for this area should be clarified from a regulatory perspective.
He also described using a methodology discovered by the military's concept of Observe, Orient, Decide, and Act (OODA) to gain an overall higher cyberspace situational awareness by using data fusion for Intrusion Detection, and that data fusion can provide varying levels of inference from being merely aware of an intrusion attempt up to being able to analyze the threat and vulnerability.
In order to describe behavioural responses within a Bayesian decision theoretic framework (see e.g. [34]) one has to consider two levels of inference.
However, controversy and uncertainty has arisen around three levels of inference in such studies.
To compare the representation of trained and untrained sequences we employed three levels of inference, each using a random-effect analysis (N = 16).
