Editore: Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Lingua: Inglese
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Editore: Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Good. 1. With dust jacket. 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.
Editore: Cambridge University Press
Da: Academic Book Solutions, Medford, NY, U.S.A.
paperback. Condizione: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Editore: Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Lingua: Inglese
Da: Sharehousegoods, Colgate, WI, U.S.A.
Condizione: 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.
Editore: Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Lingua: Inglese
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Hardcover. Condizione: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Editore: Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: 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.
Editore: Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Lingua: Inglese
Da: Big River Books, Powder Springs, GA, U.S.A.
Condizione: 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.
Editore: Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: 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.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Textbooks_Source, Columbia, MO, U.S.A.
paperback. Condizione: 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).
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Very Good.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: AMM Books, Gillingham, KENT, Regno Unito
EUR 22,16
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Very Good. In stock ready to dispatch from the UK.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Editore: Cambridge University Press 6/17/2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Computer Age Statistical Inference, Student Edition: Algorithms, Evidence, and Data Science. Book.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
Condizione: New. SUPER FAST SHIPPING.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 39,67
Quantità: 3 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 39,29
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. student edition. 510 pages. 8.75x5.75x1.00 inches. In Stock.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 47,48
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 38,20
Quantità: 6 disponibili
Aggiungi al carrelloCondizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 42,20
Quantità: 6 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 39,71
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, GB, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 57,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 48,41
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. 2021. Student. Paperback. . . . . .
Editore: Cambridge University Press, GB, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: 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.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Toscana Books, AUSTIN, TX, U.S.A.
Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Editore: Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 46,24
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germania
EUR 39,50
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,50
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.