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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Main Authors: | |
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Published: |
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Literature type: | Electronic eBook |
Language: | English |
Series: |
Wiley series in probability and statistics
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Subjects: | |
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 introductory chapter that serves as a general overview of multiway analysis, including the types of problems it can address. Next, the process of setting up, carrying out, and evaluating multiway analyses is discussed along with commonly-encountered issues, such as preprocessing, missing data, model and dimensionality selection, postprocessing, transformation, as well as robustness and stability issues"--Provided by publisher. |
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 and beyond -- Appendix A : standard notation form multiway analysis -- Appendix B : Biplots and their interpretation. |