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Can I read Principal Component Analysis of Binary Data by Iterated Singular Value Decomposition on EtoBox?
Principal Component Analysis of Binary Data by Iterated Singular Value Decomposition by Jan de Leeuw is a Mathematics article available to read on EtoBox.
What is Principal Component Analysis of Binary Data by Iterated Singular Value Decomposition about?
The maximum-likelihood estimates of a principal component analysis on the logit or probit scale are computed using majorization algorithms that iterate a sequence of weighted or unweighted singular value decompositions. The relation with similar methods in item response theory, roll call analysis, and binary choice analysis is discussed. The technique is applied to 2001 US House roll call data.
Who reads Principal Component Analysis of Binary Data by Iterated Singular Value Decomposition?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Jan de Leeuw
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0167-9473)
- Published
- 2006
- Language
- EN
- Field
- Mathematics (Physical Sciences)