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A corresponding categorization of all mixture components enables the description of the reaction network using population balance equations, an approach previously applied to polymerization, aggregation, and cell-growth processes.
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For general mixture design problems, where the optimal number of mixture components is also determined, a generic approach is employed to enable the derivation and solution of the HR formulation for problems involving functions that are not defined at zero (e.g., logarithms).
The number of mixture components is 512.
Each state has 20 Gaussian mixture components.
A total of 67 Gaussian mixture components are present.
(1998a) obtained A-optimal designs for an additive quadratic mixture model for q≥3 mixture components.
The n- and iso-paraffin mixture components did contain smaller quantities of undesired components; however, these mixture components were still deemed fit for use in the study.
Therefore, LDA is a mixture model, i.e., the mixture components are shared across all documents but each document exhibits different mixture proportions [4].
The θs denotes the mixture components.
The model has two mixture components representing two haplotypes.
A model with seven mixture components achieved maximal Bayesian Information Criterion.
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