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Use covariance in a sentence - Example Sentences for covariance

Definition and construction of a covariance model Definition of a stochastic context free grammar A stochastic context free grammar (SCFG) consists of the following: • M different nonterminals (here called states ).

SCFG productions allowed in covariance models A covariance model is a specific repetitive "profile SCFG" architecture consisting of groups of model states that are associated with base pairs and single-stranded positions in an RNA secondary structure consensus.

A covariance model has seven types of states and production rules (Table 1).

From guide tree to covariance model A CM must deal with insertions and deletions in individual sequences relative to the consensus structure.

Comparison to profile HMMs The relationship between an SCFG and a covariance model is analogous to the relationship of hidden Markov models (HMMs) and profile HMMs for modeling multiple sequence alignments [ 18 19 24 ] .

) The algorithm takes advantage of the structure of covariance models (profile SCFGs), splitting in the dimension of the states of the model rather than in the sequence dimensions.

(While the variance of a collection of numbers measures how much they vary about their mean, the covariance of two sets of numbers measures how much they vary with respect to each other.

The matrix that is decomposed by SVD is usually a dissimilarity matrix like the covariance matrix.

In addition, the calculation is done by first calculating the covariance and then dividing by the variance, thus the output is normalized.

Correlation is a statistical measure of the relationship between two variables based on the covariance of those variables normalized by their standard deviations.

Effect of exposure duration and other factors on percent of incident cases during each study was tested in a weighted analysis of covariance using the GLM procedure in SAS (SAS Institute, Carey, North Carolina).

In a weighted analysis of covariance including all the studies in table 5, R 2was 0.

39) or with dose or time since stopping drug (by weighted analysis of covariance using continuous variables).

, stroke [yes/no]) we will use chi-square tests and logistic regression techniques, when the outcome variables are continuous (with or without inclusion of collected longitudinal data), we will use repeated measures analysis of covariance (ANCOVA) techniques.

The GLM covariance model is based on the mean hair assay outcomes (HPLC).

The analysis of covariance (ANCOVA) allows for the comparison of quantitative dependent and qualitative independent variable while simultaneously controlling for a number of quantitative variables or covariates.

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The word covariance


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