Verlag: Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
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Verlag: Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Sprache: Englisch
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Verlag: Cambridge University Press
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Verlag: Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Sprache: Englisch
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Zustand: Good. This book has been examined carefully and the cover shows some wear. There may be light highlighting or writing with small bends or creases. hardcoverUsed - Good2016.
Verlag: Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Verlag: Cambridge University Press, 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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Zustand: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
Verlag: Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
Anbieter: Textbooks_Source, Columbia, MO, USA
paperback. Zustand: Good. Student. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Verlag: Cambridge University Press 6/17/2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Paperback or Softback. Zustand: New. Computer Age Statistical Inference, Student Edition: Algorithms, Evidence, and Data Science. Book.
Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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ISBN 10: 1108823416 ISBN 13: 9781108823418
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Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Verlag: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Paperback. Zustand: new. Paperback. 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. 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 algorithms. Anyone who applies statistical methods to data will value this landmark text. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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ISBN 10: 1108823416 ISBN 13: 9781108823418
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Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Verlag: Cambridge University Press, GB, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. 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, GB, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Paperback. Zustand: New. 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
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Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Verlag: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
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Verlag: Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
Anbieter: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Deutschland
Taschenbuch. 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. 491 pp. Englisch.
Verlag: Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. 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. 491 pp. Englisch.