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Applied multiway data analysis

"Applied Multiway Data Analysis presents a unique, thorough, and authoritative treatment of this relatively new and emerging approach to data analysis that is applicable across a range of fields, from the social and behavioral sciences to agriculture, environmental sciences, and chemistry. Gene...

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Bibliographic Details
Main Authors: Kroonenberg, Pieter M
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and statistics
Subjects:
Multivariate analysis
Multiple comparisons Statistics
Principal components analysis
MATHEMATICS > Probability & Statistics > Multivariate Analysis
Multivariate Analyse
Principale-componentenanalyse
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470238004
Summary: "Applied Multiway Data Analysis presents a unique, thorough, and authoritative treatment of this relatively new and emerging approach to data analysis that is applicable across a range of fields, from the social and behavioral sciences to agriculture, environmental sciences, and chemistry. General introductions to multiway data types, methods, and estimation procedures are provided in addition to detailed explanations and advice for readers who would like to learn more about applying multiway methods. Using carefully laid out examples and engaging applications, the book begins with an introd
Carrier Form: 1 online resource (xxi, 579 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 501-526) and indexes.
ISBN: 9780470237991 (electronic bk.)
0470237996 (electronic bk.)
9780470238004 (electronic bk.)
0470238003 (electronic bk.)
1281237345
9781281237347
Index Number: QA278
CLC: O212.4
Contents: Three-way and multiway data -- Component models for fully-crossed designs -- Algorithms for multiway models -- preprocessing -- Missing data in multiway analysis -- Model and dimensionality selection -- Interpreting component models -- Improving interpretation through rotations -- Graphical displays for components -- Residuals, outliers, and robustness -- Modeling multiway profile data -- Modeling multiway rating scale data -- Exploratory multivariate longitudinal analysis -- Three-mode clustering -- Multiway contingency tables -- Three-way binary data -- From three-way data to four-way data

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