This practical reference/text presents a complete introduction to the practice of data analysis - clarifying the geometrical language used, explaining the formulae, reviewing linear algebra and multidimensional Euclidean geometry, and including proofs of results. It is intended as either a self-study guide for professionals involved in experimental research, or as a text for graduate level courses in multidimensional statistics.;The book features fully worked-out exercises, without the help of a computer, illustrating the constructions of correspondence analysis. It gives details of how to prepare, read and interpret computer results, including a complete FORTRAN program listing of the basic algorithms of factor analysis and classification. Sixteen case studies from medicine and biology, economics and the humanities, demonstrate a selection of data and interpretation of results. A foundation for agglomerative hierarchical clustering is provided.
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First Sentence:
Starting from a real example of data taken from linguistics, we introduce here the elementary notations and definitions of correspondence analysis (1.1, 1.2, 1.3 ). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
complete disjunctive form, factorial axes, axial eigenvectors, barycentric principle, reconstitution formula, barycentric formula, distributional distance, factorial axis, supplementary rows, restricted hierarchy, inertia criterion, supplementary elements, supplementary columns, total inertia, transition formula, supplementary individuals, distributional equivalence, internal inertia, marginal column, supplementary variables, voting attitudes, raw table, correspondence analysis, directed segments, cosine square Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, West Germany, United Kingdom, East Germany, Freq Card, Paule Sainte Marie New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Starting from a real example of data taken from linguistics, we introduce here the elementary notations and definitions of correspondence analysis (1.1, 1.2, 1.3 ). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
complete disjunctive form, factorial axes, axial eigenvectors, barycentric principle, reconstitution formula, barycentric formula, distributional distance, factorial axis, supplementary rows, restricted hierarchy, inertia criterion, supplementary elements, supplementary columns, total inertia, transition formula, supplementary individuals, distributional equivalence, internal inertia, marginal column, supplementary variables, voting attitudes, raw table, correspondence analysis, directed segments, cosine square Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, West Germany, United Kingdom, East Germany, Freq Card, Paule Sainte Marie New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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This book cites 89
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8
books
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- Design of Experiments (Statistics: A Series of Textbooks and Monographs) by Virgil L. Anderson in Front Matter (1), and Front Matter (2)
- Statistics and Society (Statistics: A Series of Textbooks and Monographs) by Federer in Front Matter (1), and Front Matter (2)
- Random Processes: a First Look (Statistics: A Series of Textbooks and Monographs) by Syski in Front Matter (1), and Front Matter (2)
- Sample Size Choice (Statistics: A Series of Textbooks and Monographs) by Robert E. Odeh in Front Matter (1), and Front Matter (2)
- Statistical Analysis of Reliability and Life-testing Models (Statistics: A Series of Textbooks and Monographs) by Lee Bain in Front Matter (1), and Front Matter (2)
See all 89 books this book cites
- Multivariate Statistical Methods: A Primer, Third Edition by Bryan F.J. Manly on page 198
- Operational Tools in the Management of Financial Risks by Constantin Zopounidis on page 15
- Clustering for Data Mining: A Data Recovery Approach (Chapman & Hall/CRC Computer Science & Data Analysis) by Boris Mirkin in Back Matter
- Statistical Data Mining and Knowledge Discovery by Hamparsum Bozdogan on page 569
- Multivariate Data Reduction and Discrimination with SAS Software by Ravindra Khattree in Back Matter
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