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Applied Multivariate Data Analysis: Regression and Experimental Design (Springer Texts in Statistics) - Hardcover
Synopsis
An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.
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About the Author
Stephen is Maurice Falk Professor of Statistics and Social Science at Carnegie-Mellon University.
Albert W. Marshall, Professor Emeritus of Statistics at the University of British Colombia, previously served on the faculty of the University of Rochester and on the staff of the Boeing Scientific Research Laboratories. His fundamental contributions to reliability theory have had a profound effect in furthering its development.
Ingram Olkin is Professor Emeritus of Statistics and Education at Stanford University, after having served on the faculties of Michigan State University and the University of Minnesota. He has made significant contributions in multivariate analysis and in the development of statistical methods in meta-analysis, which has resulted in its use in many applications.
Professors Marshall and Olkin, coauthors of papers on inequalities, multivariate distributions, and matrix analysis, are about to celebrate 50 years of collaborations. Their basic book on majorization has promoted awareness of the subject, and led to new applications in such fields as economics, combinatorics, statistics, probability, matrix theory, chemistry, and political science.
Review
"On the whole, this volume is an excellent compendium on the subject of statistics to serve as a textbook for a number of courses." (Zentralblatt fuer Mathematik)
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- PublisherSpringer
- Publication date1991
- ISBN 10 0387976604
- ISBN 13 9780387976600
- BindingHardcover
- LanguageEnglish
- Number of pages647
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Applied Multivariate Data Analysis: Regression and Experimental Design
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Applied multivariate data analysis. Volume 1 : Regression and experimental design.
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Condition: very good. New York : Springer-Verlag, 1991. Hardcover. xxv,621 pp. With computer disc (5 1/4 inch, Windows) (Springer texts in statistics). Library stamps. Condition : very good copy. ISBN 9780387976600. Keywords : STATISTICS, Seller Inventory # 293620
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Applied Multivariate Data Analysis: Volume I: Regression and Experimental Design
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