Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.
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Bradley Efron is Max H. Stein Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. He has held visiting faculty appointments at Harvard University, Massachusetts, the University of California, Berkeley, and Imperial College of Science, Technology and Medicine, London. Efron has worked extensively on theories of statistical inference, and is the inventor of the bootstrap sampling technique. He received the National Medal of Science in 2005 and the Guy Medal in Gold of the Royal Statistical Society in 2014.
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Hardcover. Zustand: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Artikel-Nr. G1107149894I3N01
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Hardcover. Zustand: 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. Artikel-Nr. 1107149894-11-1-29
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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. Artikel-Nr. 1107149894-11-1
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Anbieter: Plurabelle Books Ltd, Cambridge, Vereinigtes Königreich
Hardback. Zustand: Very Good. Series: IMS Monographs xix 475p hardback with blue illustrated dustjacket, 'Damaged' stamp to copyright page but I can see no flaws, on the contrary, it looks as good as new, lovely fresh copy, 7th printing 2018 Language: English. Artikel-Nr. 243730
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Zustand: New. pp. 476. Artikel-Nr. 372221503
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Buch. 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. Artikel-Nr. 9781107149892
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