Mathematical Statistics with Resampling and R
eBook - PDF

Mathematical Statistics with Resampling and R

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Mathematical Statistics with Resampling and R

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.

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Yes, you can access Mathematical Statistics with Resampling and R by Laura M. Chihara,Tim C. Hesterberg in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2022
Print ISBN
9781119874034
eBook ISBN
9781119874058

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Preface
  6. Chapter 1 Data and Case Studies
  7. Chapter 2 Exploratory Data Analysis
  8. Chapter 3 Introduction to Hypothesis Testing: Permutation Tests
  9. Chapter 4 Sampling Distributions
  10. Chapter 5 Introduction to Confidence Intervals: The Bootstrap
  11. Chapter 6 Estimation
  12. Chapter 7 More Confidence Intervals
  13. Chapter 8 More Hypothesis Testing
  14. Chapter 9 Regression
  15. Chapter 10 Categorical Data
  16. Chapter 11 Bayesian Methods
  17. Chapter 12 One‐Way ANOVA
  18. Chapter 13 Additional Topics
  19. A Review of Probability
  20. B Probability Distributions
  21. C Distributions Quick Reference
  22. Problem Solutions
  23. Bibliography
  24. Index
  25. EULA