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" Mathematical statistics with resampling and R / "
Laura M. Chihara, Carleton College, Tim C. Hesterberg, Google.
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BL
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| Record Number
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840315
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| Main Entry
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Chihara, Laura,1957-
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| Title & Author
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Mathematical statistics with resampling and R /\ Laura M. Chihara, Carleton College, Tim C. Hesterberg, Google.
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| Edition Statement
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Second edition.
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| Publication Statement
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Hoboken, NJ :: John Wiley & Sons, Inc.,, 2019.
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, ©2019
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| Page. NO
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1 online resource (xv, 537 pages) :: illustrations
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| ISBN
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1119416523
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: 1119416531
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: 1119505968
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: 9781119416524
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: 9781119416531
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: 9781119505969
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111941654X
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9781119416548
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Data and case studies -- Exploratory data analysis -- Introduction to hypothesis testing: permutation tests -- Sampling distributions -- Introduction to confidence intervals: the bootstrap -- Estimation -- More confidence intervals -- More hypothesis testing -- Regression -- Categorical data -- Bayesian methods -- One-way ANOVA -- Additional topics -- Appendices. Review of probability -- Probability distributions -- Distributions quick reference -- Solutions to selected exercises.
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| Abstract
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"Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis and explores the benefits of modern resampling techniques. This book offers an introduction to permutation tests and bootstrap methods that can serve to motivate classical inference methods. The book strikes a balance between theory, computing, and applications, and the new edition explores additional topics including consulting, paired t test, ANOVA and Google Interview Questions. Throughout the book, new and updated case studies are included representing a diverse range of subjects such as flight delays, birth weights of babies, and telephone company repair times. These illustrate the relevance of the real-world applications of the material"--Publisher's description.
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| Subject
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Mathematical statistics-- Data processing.
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R (Computer program language)
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Resampling (Statistics)
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Statistics-- Data processing.
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Statistics.
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Mathematical statistics-- Data processing.
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MATHEMATICS-- Applied.
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MATHEMATICS-- Probability Statistics-- General.
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R (Computer program language)
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Resampling (Statistics)
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Statistics-- Data processing.
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Statistics.
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| Dewey Classification
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519.5/4
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| LC Classification
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QA278.8
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| Added Entry
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Hesterberg, Tim,1959-
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