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ISBN 10: 110761967X ISBN 13: 9781107619678
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Published by Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Published by Cambridge University Press, 2010
ISBN 10: 0521192498 ISBN 13: 9780521192491
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Published by Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Published by Cambridge University Press 2/28/2014, 2014
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Published by Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Published by Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Published by Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Published by Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Published by Cambridge University Press 2012-11-29, 2012
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Published by Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Published by Cambridge University Press, 2010
ISBN 10: 0521192498 ISBN 13: 9780521192491
Language: English
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Published by Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Published by Cambridge University Press, 2010
ISBN 10: 0521192498 ISBN 13: 9780521192491
Language: English
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First Edition
Hardcover. Condition: Very Good. 1st Edition. 1st Edition (2010.) Hardcover without dust jacket issued. 8vo with 263 pages. The book is in very good condition very slight shelf wear. Interior clean and tight, No markings. No online access or CD-ROM or digital access codes if applicable! "I recommend that you read the book to understand the tests in more detail as well as the applications.This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques." Dark blue spine/White text. Size: 8vo. Probability & Statistics.
Published by Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical methods. Taking an empirical Bayes approach, Bradley Efron, inventor of the bootstrap, shows how information accrues across problems in a way that combines Bayesian and frequentist ideas. Estimation, testing and prediction blend in this framework, producing opportunities for new methodologies of increased power. New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. Emphasis is on the inferential ideas underlying technical developments, illustrated using a large number of real examples.
Published by Cambridge University Press, 2012
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Add to basketPaperback. Condition: Brand New. reprint edition. 263 pages. 9.25x6.00x0.50 inches. In Stock. This item is printed on demand.
Published by Cambridge University Press, 2014
ISBN 10: 110761967X ISBN 13: 9781107619678
Language: English
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Add to basketTaschenbuch. Condition: Neu. Large-Scale Inference | Empirical Bayes Methods for Estimation, Testing, and Prediction | Bradley Efron | Taschenbuch | Kartoniert / Broschiert | Englisch | 2014 | Cambridge University Press | EAN 9781107619678 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.