Mathematical Statistics With Resampling and R

, by ;
Mathematical Statistics With Resampling and R by Chihara, Laura M.; Hesterberg, Tim C., 9781119416548
Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
  • ISBN: 9781119416548 | 111941654X
  • Cover: Hardcover
  • Copyright: 9/19/2018

  • Rent

    (Recommended)

    $95.58
    Rent Book Button
     
    Term
    Due
    Price
    *This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.
  • Buy New

    Currently Available, Usually Ships in 24-48 Hours

    $151.02
    Buy New Button
  • eBook

    eTextBook from VitalSource Icon

    Available Instantly

    Online: 365 Days

    Downloadable: Lifetime Access

    $139.20
    Buy eBook Button

This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques

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.

Throughout the book, new and updated case studies representing a diverse range of subjects such as flight delays, birth weights of babies, and U.S demographics and views on sociological issues illustrate the relevance of mathematical statistics to real-world applications.

Changes and additions to the second edition include:

  • New material on topics such as paired data, Fisher's Exact Test and the EM algorithm
  • A new chapter on ANOVA
  • A "Google Interview Question" case study and discussion that illustrate statistical thinking—starting with understanding the problem and framing it properly before proceeding to solutions
  • New exercises and examples, updated case studies, data sets, and R code

Written for undergraduate students in a mathematical statistics course as well as practitioners and researchers, the second edition of Mathematical Statistics with Resampling and R presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics.

You might also enjoy...

Loading Icon

Please wait while the item is added to your bag...
Continue Shopping Button
Checkout Button
Loading Icon
Continue Shopping Button