Details of Research Outputs

TitleEvaluating the Performance of the K-fold Cross-Validation Approach for Model Selection in Growth Mixture Modeling
Author (Name in English or Pinyin)
He, Jinbo1,2; Fan, Xitao3
Date Issued2019-01-02
Source PublicationSTRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
ISSN1070-5511
DOI10.1080/10705511.2018.1500140
Firstlevel Discipline教育学
Education discipline社科类
Published range国外学术期刊
Volume Issue Pages卷: 26 期: 1 页: 66-79
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/216
CollectionSchool of Humanities and Social Science
Corresponding AuthorHe, Jinbo
Affiliation
1.Tianjin Univ, Tianjin, Peoples R China
2.Univ Macau, Macau, Peoples R China
3.Chinese Univ Hong Kong , Shenzhen, Peoples R China
Recommended Citation
GB/T 7714
He, Jinbo,Fan, Xitao. Evaluating the Performance of the K-fold Cross-Validation Approach for Model Selection in Growth Mixture Modeling[J]. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL,2019.
APA He, Jinbo, & Fan, Xitao. (2019). Evaluating the Performance of the K-fold Cross-Validation Approach for Model Selection in Growth Mixture Modeling. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL.
MLA He, Jinbo,et al."Evaluating the Performance of the K-fold Cross-Validation Approach for Model Selection in Growth Mixture Modeling".STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL (2019).
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