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Statistics Concise Course Statistical by Wasserman Larry (35 results)
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Hardcover. 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
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Seller: Books From California, Simi Valley, CA, U.S.A.
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Condition: New.
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
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US$ 66.11
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All of Statistics : A Concise Course in Statistical Inference
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All of Statistics : A Concise Course in Statistical Inference
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Published by Springer New York 2010-02-19, 2010
ISBN 10: 1441923225 ISBN 13: 9781441923226
Language: English
US$ 73.45
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All of Statistics: A Concise Course in Statistical Inference
Published by Springer-Verlag New York Inc., 2010
ISBN 10: 1441923225 ISBN 13: 9781441923226
Language: English
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All of Statistics : A Concise Course in Statistical Inference
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All of Statistics : A Concise Course in Statistical Inference
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 55.58
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All of Statistics: A Concise Course in Statistical Inference
Published by Springer-Verlag New York Inc., 2003
ISBN 10: 0387402721 ISBN 13: 9780387402727
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to baskethardcover. Condition: Sehr gut. 462 Seiten; 9780387402727.2 Gewicht in Gramm: 1.
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All of Statistics : A Concise Course in Statistical Inference
Published by Springer New York, Springer US Dez 2010, 2010
ISBN 10: 1441923225 ISBN 13: 9781441923226
Language: English
US$ 75.99
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Add to basketTaschenbuch. 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.
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US$ 109.39
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Add to basketCondition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
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All of Statistics : A Concise Course in Statistical Inference
Published by Springer New York, Springer, 2003
ISBN 10: 0387402721 ISBN 13: 9780387402727
Language: English
US$ 91.04
Convert currencyUS$ 74.91 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
