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For cases in which the population distribution is a bivariate normal or a mixture of bivariate normal distributions we obtain explicit formulas, and establish monotonicity and sign-reverse rule properties of the generalized correlation coefficients.
We propose to model the NMR spectrum by a mixture of bivariate Gaussian densities and use the stochastic approximation Monte Carlo algorithm as the computational tool to solve the problem.
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The objective of this article was to apply a finite mixture model of bivariate normal distributions that can be used for the construction of componentwise summary receiver operating characteristic (sROC) curves.
The comparison of univariate and bivariate FCs confirms the superiority of bivariate FCs.
The general theory of bivariate hotspot detection is explained, including the bivariate binomial model, the multivariate exceedance approach, and the bivariate Poisson distribution.
This is typically true of bivariate t distribution.
Acceptability was investigated by use of bivariate and regression analysis.
The first class of bivariate beta-generated distribution is based on the following class of bivariate beta distribution.
Three different classes of bivariate BG distributions have been presented.
Application of bivariate Moran's index and LISA analysis.
Previous research on the oil market has focused mainly on the static relationship between bivariate oil prices, ignoring the dynamic correlation of bivariate or multivariate oil prices.
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