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The use of a pulse shape analysis device to discriminate α and β events introduces a correlation between some of the input quantities, and it has to be considered.
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In previous research, the authors introduced a correlation matrix that assesses the influence between different phases of the product creation process (i.e. product development and production development).
We introduce a correlation measure to evaluate the precision of the spiking patterns and explore the effects of different inhibitory interactions and learning parameters.
By using dimensional analysis and introducing a correlation factor, a correlation for predicting the effective ceiling flame length is developed, involving the heat release rate, pool size, spacing and effective tunnel height.
We introduced a correlation in the analysis in the form of a statistical parameter describing the degree of the relationship between two variables.
The authors introduced a correlation between this reference enthalpy and molecular weight of each component which was derived according to the data extracted from three reservoirs with a positive vertical temperature changes.
Further testing of the predictions was done by introducing a correlation between the heterozygosity at a locus and the squared magnitude of the allele substitution effect at a locus.
The software allows to define multivariate distributions by defining the marginal distributions and introducing a correlation matrix between them.
Introducing a correlation between QTL effect size and allelic state could affect the power of the test.
Correlation between MPGss and β is thought to originate from the inclusion criteria, thus subjects with low MPGss and low β may be excluded due to low HbA1c, which may introduce a correlation.
The following section introduces a nonparametric correlation computation method using Spearman's rank correlation coefficient.
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