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Communications in Statistics - Theory and Methods Volume 47, 2018 - Issue 3
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Original Articles

A robust generalization and asymptotic properties of the model selection criterion family

Sumito KurataGraduate School of Engineering Science, Osaka University, Toyonaka, Osaka, JapanCorrespondence[email protected]
&
Etsuo HamadaGraduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan
Pages 532-547 | Received 03 Nov 2016, Accepted 09 Mar 2017, Published online: 11 Sep 2017

Citations (5)

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Read on this site (3)

Sumito Kurata. (2022) On robustness of model selection criteria based on divergence measures: Generalizations of BHHJ divergence-based method and comparison. Communications in Statistics - Theory and Methods 0:0, pages 1-18.
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Sumito Kurata & Etsuo Hamada. (2020) On the consistency and the robustness in model selection criteria. Communications in Statistics - Theory and Methods 49:21, pages 5175-5195.
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Sumito Kurata & Etsuo Hamada. (2019) A discrete probabilistic model for analyzing pairwise comparison matrices. Communications in Statistics - Theory and Methods 48:15, pages 3801-3815.
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Articles from other publishers (2)

Angel Felipe, Maria Jaenada, Pedro Miranda & Leandro Pardo. (2024) Model Selection for independent not identically distributed observations based on Rényi’s pseudodistances. Journal of Computational and Applied Mathematics 440, pages 115630.
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Yeşim Güney, Hamparsum Bozdogan & Olcay Arslan. (2021) Robust model selection in linear regression models using information complexity. Journal of Computational and Applied Mathematics 398, pages 113679.
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