Sentence examples for procedures for inference from inspiring English sources

The procedures for inference on HWE with missing genotypes discussed in this paper are implemented in the R-package HardyWeinberg (https://cran.r-project.org/web/packages/HardyWeinberg/index.html).html

There are two already existing closed procedures for inference about the TDI estimate that consider repeated measures taken by each of the two devices with multiple readings being compared.

This constrains the class of covariance matrices that we search over, a necessary procedure for inference of covariance matrices from high-dimensional data (Bickel and Levina 2008a, b; Carvalho et al. 2008; El Karoui 2008; Meyer and Kirkpatrick 2010; Hahn et al. 2013).

Some of them are summarized below: Personalized semantic web search proposed by Jiang, A et al. [7] discuss a set of statistical methods to learn a user ontology from a given domain ontology and a spreading activation procedure for inferencing in the user ontology.

We use automatic translators to convert ontological representations to agent representations, hand-coded procedures for ontological inference, and explanation-based learning to cache inference.

A direct benefit of the proposed model is that it leads to efficient optimization procedures for tackling inference problems such as localization of ancestors in the genetic-geographic map.

While the growth of computational expense in the number of taxa may appear unpleasant, in practice this algorithm is both fast and stable, owing to the absence of costly optimization procedures for parameter inference, and is able to handle data sets of thousands of taxa.

The procedures for making inferences on differences in the proportions of successes using independent as well as dependent samples from two binomial populations are also provided.

Nonparametric methods provide alternative statistical methodology when assumptions necessary for the use of linear model-based methods fail as well as provide procedures for making inferences when the scale of measurement is ordinal or nominal.

The convergence condition of sampling procedure for approximate inference was investigated.

The PCO-MC is a method, which couples principal coordinate analysis to a clustering procedure for the inference of population structure from multi-locus genotype data.