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In some, each individual study contributes rather independently to the meta-analysis [ 13- 15] whereas in others the values are treated as members of a single study thus requiring a generalized normalization step [ 16, 17].
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Therefore, the generalized and mass normalization condition for damaged structures is expanded.
In order to find a generalized estimator, a unique normalization method are developed, and by using it, a non-linear regression has been found which estimates fracture density with correlation coefficient of higher than 80%.
This article presents a complementary analysis that includes a new normalization of the generalized Hoek Brown failure criterion, complete solutions for associated and non-associated flow rules, with some new closed-form solutions in the latter case, and in-depth considerations regarding intermediate stresses and edge effects.
Finally, the ICF parameter presented here can be further generalized, such as by a normalization of the volatility, or standard deviation of correlations; we propose this normalized ICF parameter as an Herding factor, which allows a quantification of herding in financial markets.
We observed very little difference between differentially expressed genes identified by the DESeq and edgeR programs using the same generalized linear model, regardless of normalization method and filtering strategy.
We recently extended digital normalization to provide a generalized semi-streaming approach for k-mer spectral analysis.
The function f involves two unknown parameters, k, and b, where k>0, and b>1; the normalization factor is the generalized Riemann zeta-function value:.
This framework contains new normalization methods based on generalized Poisson distribution modeling sequence count data, followed by permutation-based differential expression tests.
A generalized eigenproblem is formed and its normalizations are presented and discussed.
The f involves two parameters, k, and β, where k > 0, and β > -1; the normalization factor ζ is the generalized (due to β > -1) and truncated (due to J < ∞) Riemann Zeta function value [ 33]: (12) The continue parameter k characterizes the skewness of the probability function; the continue parameter β characterizes the deviation of the GDP distribution from a simple power law.
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