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We consider partial identification of finite mixture models in the presence of an observable source of variation in the mixture weights that leaves component distributions unchanged, as is the case in large classes of econometric models.
Aggarwal et al. (Statist. Probab. Lett. 59 (2002) 385) considered orthogonal block design for Becker's mixture models in three and four components.
The main goal is to develop a novel methodology that extends a well-established marginal procedure designed for hazard mixture models, in order to draw approximate inference on survival functions that is not limited to the posterior mean but includes, as remarkable examples, credible intervals and median survival time.
This study had the objective of testing subpixel classification techniques based on linear and nonlinear spectral mixture models in order to identify the best possible classification technique for repeatable mapping of saltcedar canopy cover along the Forgotten River reach of the Rio Grande.
Figure 2 Mixture models in remotely sensed hyperspectral imaging.
We construct shrinkage simplex-centroid design by considering quadratic Scheffé's mixture models in three and four components.
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The model for MIXTURE assumes that the marker effects follow a mixture of two normal distributions with similar characteristics as the mixture model in Meuwissen [ 19].
This paper examines the inference question on the proportions (mixing probability) in a simple mixture model in the presence of nuisance parameters when sample size is large.
The algebraic slip mixture model in the CFX software is adopted for cavitation simulation.
TSC aggregates transition states from all demonstrations into clusters using a hierarchical Dirichlet Process Gaussian Mixture Model in two phases, first over states and then temporally.
The flow behaviour was predicted using the Multiphase Eulerian and Mixture Model in the commercial CFD package, Fluent 6.1.
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