Buy 2 get 1 free. Everything is calculated at checkout.

Mathematical Statistics with Resampling and R by Laura M. Chihara

$47.99was$53.99Save 11%

Buy 2, get 1 free. Applied automatically at checkout.

Before you buy

  • Check your email at checkoutYour download link is sent to the address you enter, so make sure it's typed correctly.
  • This is a digital PDFNothing is shipped. The download link arrives by email right after payment.
  • 30-day money-back guaranteeIf the file doesn't work, we'll replace it or refund you.
Can't find the ebook you want?

Send us a photo of the cover in live chat and we'll look for it. We usually reply within 10 minutes.

About this book

Mathematical Statistics with Resampling and R

This thoroughly updated third 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 third edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book is classroom-tested to ensure an accessible presentation, and uses the powerful and flexible computer language R for data analysis.

This book introduces permutation tests and bootstrap methods to motivate classical inference methods, as well as to be utilized as useful tools in their own right when classical methods are inaccurate or unavailable. The book strikes a balance between simulation, computing, theory, data, and applications.

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

Changes and additions to the third edition include:

  • New and updated case studies that incorporate contemporary subjects like COVID-19
  • Several new sections, including introductory material on causal models and regression methods for causal modeling in practice
  • Modern terminology distinguishing statistical discernibility and practical importance
  • New exercises and examples, data sets, and R code, using dplyr and ggplot2
  • A complete instructor’s solutions manual
  • A new github site that contains code, data sets, additional topics, and instructor resources

Mathematical Statistics with Resampling and R is an ideal textbook for undergraduate and graduate students in mathematical statistics courses, as well as practitioners and researchers looking to expand their toolkit of resampling and classical techniques.

Book details

Format
PDF, instant download
Language
English

Why buy here

Instant

The PDF is delivered as soon as your payment clears, day or night.

Complete

The full edition, every chapter, no missing pages.

24/7

Questions about your order? Message us in live chat any time.

Secure

Encrypted checkout with all major cards and wallets.

You may also like