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The particle system is solved using a multivariate stochastic solver coupled to the gas-phase iron chemistry using an operator splitting algorithm.
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saplings were analysed using a multivariate method.
4) Statistical classification using a multivariate Gaussian classifier.
Independent risk factors were analysed using a multivariate logistic regression.
Extraction conditions were optimized using a multivariate approach.
A very recent development is multivariate MPS in which an ensemble of variables can be simulated simultaneously using a multivariate TI.
Data were analyzed using a multivariate analysis of variance (MANOVA).
A multivariate stochastic generation model for daily weather variables is proposed that extends the multivariate k-nearest neighbor resampling approach (MKNN).
Currently, the standard approach is to model wind velocities as discrete components of a multivariate stochastic vector process, characterized by a Cross-Spectral Density Matrix.
Instead, outbreak patterns are simulated using a simple stochastic model.
In this paper, a multivariate particle model is accommodated using a stochastic method and the particle morphology is characterised in terms of the distributions of primary and aggregate particle diameters, number of primary particles per particle and neck radii of connected primary particles.
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