Idioma: Inglés
Publicado por Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Cambridge University Press 2/28/2014, 2014
ISBN 10: 110761967X ISBN 13: 9781107619678
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EUR 59,01
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Añadir al carritoPaperback or Softback. Condición: New. Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction. Book.
Idioma: Inglés
Publicado por Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: California Books, Miami, FL, Estados Unidos de America
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Idioma: Inglés
Publicado por Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2012
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 65,56
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Añadir al carritoPaperback. Condición: New. 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Idioma: Inglés
Publicado por Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
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EUR 58,27
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Idioma: Inglés
Publicado por Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 66,91
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Idioma: Inglés
Publicado por Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Añadir al carritoCondición: New. 2012. Reprint. Paperback. Bradley Efron explains how to perform thousands of simultaneous estimates and tests, as required by new scientific technology. Series: Institute of Mathematical Statistics Monographs. Num Pages: 276 pages, 65 b/w illus. 10 colour illus. 105 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 225 x 154 x 14. Weight in Grams: 398. Empirical Bayes Methods for Estimation, Testing, and Prediction. Series: Institute of Mathematical Statistics Monographs. 280 pages, 65 b/w illus. 10 colour illus. 105 exercises. Bradley Efron explains how to perform thousands of simultaneous estimates and tests, as required by new scientific technology. Cateogry: (P) Professional & Vocational. BIC Classification: PBT. Dimension: 225 x 154 x 14. Weight: 442. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 72,29
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Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2012
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: Rarewaves.com UK, London, Reino Unido
EUR 60,80
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2012
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 124,33
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. 2012. Reprint. Paperback. Bradley Efron explains how to perform thousands of simultaneous estimates and tests, as required by new scientific technology. Series: Institute of Mathematical Statistics Monographs. Num Pages: 276 pages, 65 b/w illus. 10 colour illus. 105 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 225 x 154 x 14. Weight in Grams: 398. Empirical Bayes Methods for Estimation, Testing, and Prediction. Series: Institute of Mathematical Statistics Monographs. 280 pages, 65 b/w illus. 10 colour illus. 105 exercises. Bradley Efron explains how to perform thousands of simultaneous estimates and tests, as required by new scientific technology. Cateogry: (P) Professional & Vocational. BIC Classification: PBT. Dimension: 225 x 154 x 14. Weight: 442. . . . . .
Idioma: Inglés
Publicado por Cambridge University Press, 2012
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: Revaluation Books, Exeter, Reino Unido
EUR 54,71
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. reprint edition. 263 pages. 9.25x6.00x0.50 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2012
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: CitiRetail, Stevenage, Reino Unido
EUR 66,33
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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. Modern scientific technology (such as microarrays and fMRI machines) produces data in vast quantities. Bradley Efron explains the empirical Bayes methods that help make sense of a new statistical world. This is essential reading for professional statisticians and graduate students wishing to use and understand important new techniques like false discovery rates. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 110761967X ISBN 13: 9781107619678
Librería: moluna, Greven, Alemania
EUR 63,55
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Modern scientific technology (such as microarrays and fMRI machines) produces data in vast quantities. Bradley Efron explains the empirical Bayes methods that help make sense of a new statistical world. This is essential reading for professional statisticia.