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mixsmsn: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions
(Journal Statistical SoftwareLos AngelesEUA, 2013)
Bayesian mixture of parametric and nonparametric density estimation: A Misspecification Problem
(Sociedade Brasileira de Econometria, 2011)
Application of statistical mixture models for ternary polymer blends
(Soc Brasileira QuimicaSao PauloBrasil, 1997)
Robust Mixture Regression Modeling Based On Scale Mixtures Of Skew-normal Distributions
(Springer New York LLC, 2016)
Volumetric Properties of Chloroalkanes plus Amines Mixtures: Theoretical Analysis Using the ERAS-Model
(Springer/plenum PublishersNew YorkEUA, 2009)
The generalized log-gamma mixture model with covariates: local influence and residual analysis
(SPRINGER HEIDELBERG, 2009)
In a sample of censored survival times, the presence of an immune proportion of individuals who are not subject to death, failure or relapse, may be indicated by a relatively high number of individuals with large censored ...
Is statistical lack of fit a reliable criterion for chemical complexity?
(Elsevier Science BvAmsterdamHolanda, 1996)
Potential symmetries and new solutions of a simplified model for reacting mixtures
(Iop Publishing Ltd, 2000-01-21)
In this paper, we investigate potential symmetries of a simplified model for reacting mixtures. We find new similarity reductions and wider class of solutions through this approach. Further, we explore an invertible mapping ...
The full Bayesian significance test for mixture models: results in gene expression clustering
(FUNPEC-EDITORA, 2008)
Gene clustering is a useful exploratory technique to group together genes with similar expression levels under distinct cell cycle phases or distinct conditions. It helps the biologist to identify potentially meaningful ...