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Edited By Paolo Gibi - Algebraic and Geometric Methods in Statistics - 9780521896191 - V9780521896191
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Algebraic and Geometric Methods in Statistics

€ 136.48
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Description for Algebraic and Geometric Methods in Statistics hardcover. An up-to-date account of algebraic statistics and information geometry, which also explores the emerging connections between these two disciplines. Editor(s): Gibilisco, Paolo; Riccomagno, Eva; Rogantin, Maria-Piera; Wynn, Henry P. Num Pages: 382 pages, 30 b/w illus. 35 tables. BIC Classification: PBF; PBM; PBT. Category: (P) Professional & Vocational. Dimension: 255 x 181 x 24. Weight in Grams: 814.
This up-to-date account of algebraic statistics and information geometry explores the emerging connections between the two disciplines, demonstrating how they can be used in design of experiments and how they benefit our understanding of statistical models, in particular, exponential models. This book presents a new way of approaching classical statistical problems and raises scientific questions that would never have been considered without the interaction of these two disciplines. Beginning with a brief introduction to each area, using simple illustrative examples, the book then proceeds with a collection of reviews and some new results written by leading researchers in their respective ... Read more

Product Details

Format
Hardback
Publication date
2009
Publisher
Cambridge University Press United Kingdom
Number of pages
382
Condition
New
Number of Pages
382
Place of Publication
Cambridge, United Kingdom
ISBN
9780521896191
SKU
V9780521896191
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-12

About Edited By Paolo Gibi
Professor Paolo Gibilisco is a Researcher in Mathematical Analysis in the School of Economics at the University of Rome 'Tor Vergata'. Eva Riccomagno is Associate Professor in the Department of Mathematics at the University of Genova. Maria Piera Rogantin is Associate Professor in the Department of Mathematics at the University of Genova. Henry P. Wynn is Professor of Statistics at ... Read more

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