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Mathematical statistics with resampling and R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mathematical statistics with resampling and R /Laura M. Chihara, Tim C. Hesterberg.
Author:	Chihara, Laura M.,
other author:	Hesterberg, Tim C.,
Published:	Hoboken, NJ :John Wiley & Sons,2022.
Description:	xvi, 559 p. :ill. ;24 cm.
Subject:	Resampling (Statistics).
ISBN:	9781119874034 :

Mathematical statistics with resampling and R /
Chihara, Laura M.,1957-

Mathematical statistics with resampling and R /Laura M. Chihara, Tim C. Hesterberg. - 3rd ed. - Hoboken, NJ :John Wiley & Sons,2022. - xvi, 559 p. :ill. ;24 cm.

Includes bibliographical references and index.

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.

"Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The third edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. Classroom-tested to ensure a comprehensive presentation, this book uses the powerful and flexible computer language R for data analysis and explore the benefits of modern resampling techniques. It strikes a balance between theory, computing, and applications. Throughout the book, new and updated case studies featuring areas such as COVID-19, climate action, and more illustrate the relevnce of mathematical statistics to real-world applications. This third edition includes several all-new sections, including a discussion of pivotal statistics and causal reference. Written for undergraduate students in mathematical statistics courses as well as practitioners and researchers, this third edition presented a revised and updated guide for applying the most current resampling techniues to mathematical statistics"--

ISBN: 9781119874034 :NT$4419

LCCN: 2022008656Subjects--Topical Terms:

1011733
Resampling (Statistics).

LC Class. No.: QA278.8 / .C45 2022

Dewey Class. No.: 519.5/4

Mathematical statistics with resampling and R /
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020 $z 9781119874058 (epdf)
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050 0 0 $a QA278.8 $b .C45 2022
082 0 0 $a 519.5/4 $2 23/eng20220716
100 1 $a Chihara, Laura M., $d 1957- $e author. $3 1011731
245 1 0 $a Mathematical statistics with resampling and R / $c Laura M. Chihara, Tim C. Hesterberg.
250 $a 3rd ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c 2022.
300 $a xvi, 559 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 $a "Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The third edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. Classroom-tested to ensure a comprehensive presentation, this book uses the powerful and flexible computer language R for data analysis and explore the benefits of modern resampling techniques. It strikes a balance between theory, computing, and applications. Throughout the book, new and updated case studies featuring areas such as COVID-19, climate action, and more illustrate the relevnce of mathematical statistics to real-world applications. This third edition includes several all-new sections, including a discussion of pivotal statistics and causal reference. Written for undergraduate students in mathematical statistics courses as well as practitioners and researchers, this third edition presented a revised and updated guide for applying the most current resampling techniues to mathematical statistics"-- $c Provided by publisher.
650 0 $a Resampling (Statistics). $3 1011733
650 0 $a Statistics $x Data processing. $3 183693
650 0 $a Mathematical statistics $x Data processing. $3 183916
650 0 $a R (Computer program language). $3 714997
700 1 $a Hesterberg, Tim C., $d 1959- $e author. $3 1011732
710 2 $a John Wiley & Sons, $e publisher. $3 988206