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Statistics Concise Course Statistical Inference by Wasserman Larry (36 results)
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Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Book 73 of 111: Springer Texts in StatisticsSeller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Book 73 of 111: Springer Texts in StatisticsSeller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Book 73 of 111: Springer Texts in StatisticsSeller: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Book 73 of 111: Springer Texts in StatisticsUS$ 39.24
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Book 73 of 111: Springer Texts in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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All of Statistics : A Concise Course in Statistical Inference
Book 73 of 111: Springer Texts in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Book 73 of 111: Springer Texts in StatisticsLanguage: English
Published by Springer New York 2010-02-19, 2010
ISBN 10: 1441923225 ISBN 13: 9781441923226
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Book 73 of 111: Springer Texts in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Book 73 of 111: Springer Texts in StatisticsLanguage: English
Published by Springer New York 2010-02-19, 2010
ISBN 10: 1441923225 ISBN 13: 9781441923226
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All of Statistics: A Concise Course in Statistical Inference
Book 73 of 111: Springer Texts in StatisticsLanguage: English
Published by Springer-Verlag New York Inc., 2010
ISBN 10: 1441923225 ISBN 13: 9781441923226
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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All of Statistics : A Concise Course in Statistical Inference
Book 73 of 111: Springer Texts in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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All of Statistics : A Concise Course in Statistical Inference
Book 73 of 111: Springer Texts in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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All of Statistics : A Concise Course in Statistical Inference
Book 73 of 111: Springer Texts in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Taschenbuch. Condition: Neu. All of Statistics | A Concise Course in Statistical Inference | Larry Wasserman | Taschenbuch | Springer Texts in Statistics | xx | Englisch | 2010 | Springer | EAN 9781441923226 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Neuware - Taken literally, the title 'All of Statistics' is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines.The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
