Sentence examples for inferential frameworks from inspiring English sources

The ALS-based biomass estimation was performed using regression estimators under design-based and the model-based inferential frameworks.

Models were fit using weighted least squares; the population mean, μ, and the variance of the estimator of the population mean, V, were estimated using two inferential frameworks, model-based and model-assisted, and compared.

Using this artificial population as "ground-truth", we demonstrate how simulated sampling can be used for assessing the statistical properties of regression estimators and of their variance estimators under two-phase post-stratified systematic sampling (SYS) and simple random sampling without replacement (SRSwoR) designs, considering design- and model-dependent inferential frameworks.

Thus, due to the different points of view underlying design-based and model-based inference some caution must be exercised when comparing results from the two inferential frameworks.

The BALLAD study mixes frequentist and Bayesian inferential frameworks.

Basic epidemiological and evolutionary models are now well characterized with inferential frameworks in place.

How do we deal with time series (in which data are linked from one measurement to the next) or put multiple sources of data into one inferential framework?

Finally, Bayesian inferential framework is introduced to allow for the estimation of the posterior distribution of model parameter, when additional or subsequent borehole information becomes available.

Evaluating candidate biomarkers in the exploratory phases of drug development and investigating surrogate endpoints in confirmatory trials require the establishment of a statistical and inferential framework.

And so I'm going to make the argument in what comes up here that, ideally, we're going to use an inferential framework about our parameters that makes use of mutual information.

This paper presents a methodology to infer the actual corrosion defect depth based on detection theory and to account for the effect of soil property variation by combining cluster analysis with a Bayesian inferential framework.