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Journal of Statistical Computation and Simulation Volume 85, 2015 - Issue 11
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Original Articles

Model selection with misspecified spatial covariance structure

Lin XuSchool of Mathematics and Statistics, Zhejiang University of Finance and Economics, Hangzhou310018, People's Republic of China
,
You-Gan WangCentre for Applications in Natural Resource Mathematics (CARM), School of Mathematics and Physics, The University of Queensland, St Lucia4072, AustraliaCorrespondence[email protected]
,
Shurong ZhengKLAS and School of Mathematics and Statistics, Northeast Normal University, Changchun130024, People's Republic of China
&
Ning-Zhong ShiKLAS and School of Mathematics and Statistics, Northeast Normal University, Changchun130024, People's Republic of China
Pages 2276-2294 | Received 01 Oct 2013, Accepted 18 May 2014, Published online: 16 Jun 2014

Citations (4)

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Read on this site (1)

Guofeng Song, Lixun Zhu, Ai Gao & Lingzhu Kong. (2021) Blockwise AICc and its consistency properties in model selection. Communications in Statistics - Theory and Methods 50:13, pages 3198-3213.
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Articles from other publishers (3)

Ehsan Rezaei-Darzi, Jessica Kasza, Andrew Forbes & Rhys Bowden. (2022) Use of information criteria for selecting a correlation structure for longitudinal cluster randomised trials. Clinical Trials 19:3, pages 316-325.
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Francis K.C. Hui, Nicole A. Hill & A.H. Welsh. (2021) Assuming independence in spatial latent variable models: Consequences and implications of misspecification. Biometrics 78:1, pages 85-99.
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Guofeng Song, Xiaogang Dong, Jiafeng Wu & You-Gan Wang. (2017) Blockwise AICc for Model Selection in Generalized Linear Models. Environmental Modeling & Assessment 22:6, pages 523-533.
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