Verlag: Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Verlag: Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Sprache: Englisch
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Verlag: Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Sprache: Englisch
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In den WarenkorbZustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
Verlag: Cambridge University Press, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Sprache: Englisch
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Verlag: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Sprache: Englisch
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Verlag: Cambridge University Press Dez 2022, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - This book is aimed at Ph.D. and advanced M.S. students of statistics who need to understand modern statistical theory both in its exponential family structure and its applications, without requiring advanced mathematical preparation. Connections with logistic regression, survival analysis, Bayesian methods, and false discovery rates are emphasized.
Verlag: Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Sprache: Englisch
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 70,10
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Verlag: Cambridge University Press, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Sprache: Englisch
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In den WarenkorbZustand: New. Über den AutorBradley Efron is Professor Emeritus of Statistics and Biomedical Data Science at Stanford University. He is the inventor of the bootstrap method for assessing statistical accuracy. He has published extensively on stati.
Verlag: Cambridge University Press (edition Student), 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: As New. Student. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Verlag: Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 151,60
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here And where are we going This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Verlag: Cambridge University Press (edition Reprint), 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Sprache: Englisch
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Verlag: Society for Industrial and Applied Mathematics, 1982
ISBN 10: 0898711797 ISBN 13: 9780898711790
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
EUR 30,26
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In den WarenkorbZustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Verlag: Society for Industrial and Applied Mathematics, 1982
ISBN 10: 0898711797 ISBN 13: 9780898711790
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
EUR 30,26
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In den WarenkorbZustand: Good. Used book that is in clean, average condition without any missing pages.
Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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EUR 38,78
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Verlag: Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Sprache: Englisch
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EUR 48,77
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In den WarenkorbZustand: New. In.
Verlag: Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 46,12
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here And where are we going How does it all fit together Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science.
Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
EUR 38,14
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In den WarenkorbZustand: New. Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algor.
Verlag: Society for Industrial and Applied Mathematics, 1987
ISBN 10: 0898711797 ISBN 13: 9780898711790
Sprache: Englisch
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 89,50
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In den WarenkorbZustand: New. In.
Verlag: Cambridge University Press, 2013
ISBN 10: 110761967X ISBN 13: 9781107619678
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 87,97
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bradley Efron explains how to perform thousands of simultaneous estimates and tests, as required by new scientific technology.
Verlag: Cambridge University Press, 2022
ISBN 10: 1108488900 ISBN 13: 9781108488907
Sprache: Englisch
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 118,19
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Verlag: Cambridge University Press Dez 2022, 2022
ISBN 10: 1108488900 ISBN 13: 9781108488907
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 147,75
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In den WarenkorbBuch. Zustand: Neu. Neuware - During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 193,09
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In den WarenkorbZustand: New. In.
Verlag: Taylor & Francis Ltd Mai 1994, 1994
ISBN 10: 0412042312 ISBN 13: 9780412042317
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 203,61
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In den WarenkorbBuch. Zustand: Neu. Neuware - Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
EUR 196,33
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In den WarenkorbZustand: New. Bradley Efron, Department of Statistics Stanford University and Robert J. Tibshirani, Department of Preventative Medicine and Biostatistics and Department of Statistics, University of Toronto.Statistics is a subject of many uses and surprisingly few eff.