Objective Bayesian model selection approach to the two way analysis of variance-Reference-Cited by-同舟云学术

Objective Bayesian model selection approach to the two way analysis of variance

Published:2017-04-20 Issue:1 Volume:33 Page:235-248
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Comput Stat

Author:

Cano J. A.,Carazo C.,Salmerón D.

Funder

Séneca Foundation Programme for the Generation of Excellence Scientific Knowledge

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s00180-017-0727-1/fulltext.html

Reference10 articles.

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2. Berger JO, Pericchi LR (2015) Bayes factors. Wiley StatsRef: statistics reference online. Wiley, London

3. Bertolino F, Moreno E, Racugno W (2000) Bayesian model selection approach to analysis of variance under heteroscedasticity. Statistician 49(4):503–517

4. Cano JA, Kessler M, Moreno E (2004) On intrinsic priors for nonnested models. Test 13:445–463

5. Cano JA, Carazo C, Salmerón D (2013) Bayesian model selection approach to the one way analysis of variance under homoscedasticity. Comput Stat 28:919–931

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