Modeling Data Tools Techniques by Klemens Ben (17 results)
- Hardcover
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- Hardcover
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Condition: Good. LIGHTNING FAST SHIPPING! Hardback, in good condition. Pages have LOTS of scattered marks and notes, binding is good, cover is clean. A solid reading copy. ~ Ships Fast.
- Hardcover
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- Hardcover
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1200grams, ISBN:9780691133140.
- Hardcover
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- Hardcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New. Explains how to execute computationally intensive analysis on very large data sets. This book shows readers how to determine some of the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. Num Pages: 472 pages,…35 line illus. 16 tables. BIC Classification: GPH; UFM; UMT; UNA. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 267 x 186 x 31. Weight in Grams: 1138. . 2008. Hardcover. . . . .
- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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£ 101.66
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Condition: New. Explains how to execute computationally intensive analysis on very large data sets. This book shows readers how to determine some of the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. Num Pages: 472 pages,…35 line illus. 16 tables. BIC Classification: GPH; UFM; UMT; UNA. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 267 x 186 x 31. Weight in Grams: 1138. . 2008. Hardcover. . . . . Books ship from the US and Ireland.
- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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- Hardcover
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Hardcover. Condition: Brand New. illustrated edition. 470 pages. 10.00x7.00x1.25 inches. In Stock.
- Hardcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 110.66
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Hardcover. Condition: Brand New. illustrated edition. 470 pages. 10.00x7.00x1.25 inches. In Stock. This item is printed on demand.
- Hardcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
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£ 108.10
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Buch. Condition: Neu. Modeling with Data | Tools and Techniques for Scientific Computing | Ben Klemens | Buch | Einband - fest (Hardcover) | Englisch | 2008 | Princeton University Press | EAN 9780691133140 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu…Print on Demand.
- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 130.85
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical mode…ls, and how to run an analysis and evaluate the results. Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods. Klemens's accessible survey describes these models in a unified and nontraditional manner, providing alternative ways of looking at statistical concepts that often befuddle students. The book includes nearly one hundred sample programs of all kinds. Links to these programs will be available on this page at a later date. Modeling with Data will interest anyone looking for a comprehensive guide to these powerful statistical tools, including researchers and graduate students in the social sciences, biology, engineering, economics, and applied mathematics.
