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Nonparametric Evaluation of Learning Curves by Hierarchical Contingeney Analysis

 

作者: G. A. Lienert,   N. Longo,  

 

期刊: Biometrical Journal  （WILEY Available online 1988）
卷期: Volume 30, issue 1  

页码: 17-24

 

ISSN:0323-3847

 

年代: 1988

 

DOI:10.1002/bimj.4710300103

 

出版商: WILEY‐VCH Verlag

 

关键词: Nonparametrics;Contingency analysis;Response curves;Closed test procedure;2 × 2‐Factorial design;Orthogonal polynomials

 

数据来源: WILEY

 

摘要:

AbstractHierarchical contingency analysis (HCA) is derived from the Perli‐Hommel‐Lehmacher (1986) closed test procedure for nonparametrical evaluation of learning curves of a 2 x 2‐factorial experiment. By HCA, univariate main effects are detected without Bonferroni alpha adjustment, as is shown by a numerical example from gold fish shock avoidance conditioning. Alternative approaches to nonparametrical evaluation of MANOVA designs with and without repeated measurements are disc

 

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