Title
Multivariate Observations (Wiley Series In Probability And Statistics)-new
Delivery time: 8-12 business days (International)
Wileyinterscience Paperback Seriesthe Wileyinterscience Paperback Series Consists Of Selected Books That Have Been Made More Accessible To Consumers In An Effort To Increase Global Appeal And General Circulation. With These New Unabridged Softcover Volumes, Wiley Hopes To Extend The Lives Of These Works By Making Them Available To Future Generations Of Statisticians, Mathematicians, And Scientists.'In Recent Years Many Monographs Have Been Published On Specialized Aspects Of Multivariate Dataanalysison Cluster Analysis, Multidimensional Scaling, Correspondence Analysis, Developments Of Discriminant Analysis, Graphical Methods, Classification, And So On. This Book Is An Attempt To Review These Newer Methods Together With The Classical Theory. . . . This One Merits Two Cheers.'J. C. Gower, Department Of Statisticsrothamsted Experimental Station, Harpenden, U.K.Review In Biometrics, June 1987Multivariate Observations Is A Comprehensive Sourcebook That Treats Dataoriented Techniques As Well As Classical Methods. Emphasis Is On Principles Rather Than Mathematical Detail, And Coverage Ranges From The Practical Problems Of Graphically Representing Highdimensional Data To The Theoretical Problems Relating To Matrices Of Random Variables. Each Chapter Serves As A Selfcontained Survey Of A Specific Topic. The Book Includes Many Numerical Examples And Over 1,100 References.
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To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What topics are covered in 'Multivariate Observations'? A: The book covers a wide range of topics related to multivariate data analysis, including cluster analysis, multidimensional scaling, correspondence analysis, discriminant analysis, graphical methods, and classification techniques.
- Q: Who is the author of 'Multivariate Observations'? A: 'Multivariate Observations' is authored by George A. F. Seber, a notable figure in the field of statistics.
- Q: What is the publication date of this book? A: 'Multivariate Observations' was published on April 30, 1984.
- Q: What is the format of the book? A: The book is available in hardcover format, ensuring durability and longevity for readers.
- Q: How many pages does 'Multivariate Observations' have? A: 'Multivariate Observations' consists of 712 pages, providing comprehensive coverage of multivariate statistical methods.
- Q: Is this book suitable for beginners in statistics? A: While 'Multivariate Observations' is comprehensive, it emphasizes principles over mathematical detail, making it accessible to readers with a foundational understanding of statistics.
- Q: Does the book include practical examples? A: Yes, the book includes many numerical examples that illustrate the concepts discussed, enhancing understanding of multivariate analysis techniques.
- Q: What is the condition of the book if purchased used? A: If you purchase a used copy of 'Multivariate Observations', it is typically listed in 'Very Good' condition, indicating minimal wear and tear.
- Q: Are there references included in the book? A: Yes, 'Multivariate Observations' contains over 1,100 references, providing resources for further reading and research.
- Q: Can this book be used as a reference for research? A: Absolutely, 'Multivariate Observations' serves as a comprehensive sourcebook suitable for researchers, statisticians, and students looking for detailed insights into multivariate methods.