Sentence examples for models for analytic from inspiring English sources

Using a cluster randomization trial design, the Corrona statistical group followed the methodologies described by Donner and Klar for power and sample size estimates and the use of mixed-effects models for analytic procedures [ 14].

For larger samples and/or more complex models, for which analytic likelihood calculations become intractable, the bSFS could form the basis for alternative inference methods.

There are other Big Data problems such as domain adoption and streaming data that large-scale Deep Learning models for Big Data analytics have to contend with them.

In this article, we present efficient methods for the use of these processes in this hierarchical context, and apply them to latent variable models for text analytics.

Some simple modifications in the SAS procedure proc mixed allow the fitting of mixed models for meta-analytic data from diagnostic studies.

The contribution of this research lies in the decision support model for integrating analytic network process (ANP) and the distance-to-target (DT) method in order to calculate a single score Ecodesign concept indicator that makes the new product more eco-effective than the baseline product.

Third, both of them used the fixed-effects model for the analytic strategy.

This approach will also provide adequate power to generate valid, reliable answers and to populate the model for decision analytic modelling for health economic evaluation.

In [5] the authors developed a new model for event analytics.

Firstly, we present a random effects variance shift outlier model RVSOM for the random effects model for meta-analytic data.

In this paper, we propose an accurate formula for analytic modeling of the soft error rate of a system which can be used to precisely track the reliability of the system under dynamic voltage and frequency adjustments.