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" Computer age statistical inference: "
Bradley Efron, Stanford University, California, Trevor Hastie, Stanford University, California.
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Central Library of the Kurdistan University
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| Material Type
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Latin Book
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| Record Number
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231574
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4475
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| Language of Document
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English
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| Main Entry
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Efron, Bradley, , Author
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| Title & Author
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Computer age statistical inference: : algorithms, evidence, and data science\ Bradley Efron, Stanford University, California, Trevor Hastie, Stanford University, California.
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| Publication Statement
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New York, NY : Cambridge University Press, 2021.
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| Series Statement
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Institute of Mathematical Statistics monographs
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| Page. NO
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xix, 491 pages: color illustrations
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| ISBN
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9781107149892 (hbk. : alk. paper)
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Includes bibliographical references and indexes.
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| Abstract
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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.
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| Subject
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Mathematical statistics--Data processing.
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| Added Entry
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Hastie, Trevor, Cllaborator
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| publication status
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e
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| Keyword
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Mathematical statistics.Data processing.
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