A best linear threshold classification with scale mixture of skew normal populations-Reference-Cited by-同舟云学术

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A best linear threshold classification with scale mixture of skew normal populations

Published:2014-08-03 Issue:1 Volume:30 Page:1-28
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Comput Stat

Author:

Kim Hea-Jung

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s00180-014-0517-y.pdf

Reference31 articles.

1. Anderson TW (2003) An introduction to multivariate statistical analysis, 3rd edn. Wiley, New York

2. Arellano-Valle RB, Branco MD, Genton MG (2006) A unified view on skewed distributions arising from selection. Can J Stat 34:581–601

3. Arnold BC, Beaver RJ, Groeneveld RA, Meeker WQ (1993) The nontruncated marginal of a truncated bivariate normal distribution. Psychometrica 58:471–478

4. Azzalini A, Capitanio A (1999) Statistical applications of the multivariate skew-normal distribution. J R Stat Soc B61:579–602

5. Berrendero JR, Cárcamo J (2012) The tangent classifier. Am Stat 66:185–194

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2. Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint;Entropy;2017-06-13

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