Sentence examples for primary inference from inspiring English sources

The phrase "primary inference" is a correct and usable phrase in written English.
You can use it when you are referring to an inference that is based on the initial information available, or to distinguish an inference from other inferences that may have been made later. Example: We were able to draw a primary inference from the data, but additional data led us to question the accuracy of that inference.

Exact(3)

The spatial contexts are defined from the spatial structure, so that it is placed as the primary inference contexts.

The Card, Moran and Newell (CMN) GOMS technique was selected as the primary inference engine of the proposed expert system.

The primary inference to draw from the Senator's grievances is that the Intelligence Committees knew perfectly well that torture had become the official policy of the United States.

Similar(57)

Uno et al. [ 15] suggest that when there is not sufficient information about the profile of the between-group difference at the design stage of the study, practitioners should consider a pre-specified, clinically meaningful, model-free measure for quantifying the difference and to use robust estimation procedures to draw primary inferences.

A primary statistical inference illustrated in Figure 6 of our article (Pope et al. 2007) is that similar and consistent (not significantly different) mortality decreases were observed across all four Southwest states.

The primary demographic inference was that sudden expansions in both forms relate to paleo-climatic conditions much older than the LGM, and thus are better reflected in the more slowly evolving CR.

Facial expressions provide a primary source of inference about a child's pain.

In many contexts, however, heterogeneity is the primary object of inference.

Thus, the primary basis for inference is the fine-grained population response and mechanistic reasoning.

The estimated income coefficient from model 2 is conditional on other measures of socioeconomic position (i.e. education and occupation), and is the primary model for inference and for which associations are shown in the figures.

The primary object of inference in this model is the joint posterior distribution function over the latent variables, (3) p (μ, θ | r, n ; ϕ ) = p (μ, θ, r | n ; ϕ ) p (r | n ; ϕ ), where the parameters are ϕ = Δ { μ 0, M 0, M }.

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