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Influence function and correspondence analysis

Article ID Journal Published Year Pages File Type
10525448 Journal of Statistical Planning and Inference 2005 10 Pages PDF
Abstract
Correspondence analysis appears to be sensitive to modalities with low margins leading to outliers. We use the notions of influence function and Hadamard differentiability to provide a criterion for deciding when such an outlier can be considered as too influential.
Keywords
62F3562H25Influence functionCorrespondence analysisHadamard differentiability
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
Preview
Influence function and correspondence analysis
Authors
Emmanuel Nowak, Avner Bar-Hen,
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Journal
Journal of Statistical Planning and Inference
Journal: Journal of Statistical Planning and Inference
Related Categories
62F35
62H25
Influence function
Correspondence analysis
Hadamard differentiability
Algebra and Number Theory
Analysis
Applied Mathematics
Computational Mathematics
Control and Optimization
Discrete Mathematics and Combinatorics
Geometry and Topology
Logic
Mathematical Physics
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Numerical Analysis
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