Advanced Statistics with Applications in R
eBook - PDF

Advanced Statistics with Applications in R

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

Advanced Statistics with Applications in R

About this book

Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications for solving real-life problems.

There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said ?? What team is better? The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei, and many others are intriguing. These examples cover biostatistics, finance, physics and engineering, text and image analysis, epidemiology, spatial statistics, sociology, etc.

Advanced Statistics with Applications in R teaches students to use theory for solving real-life problems through computations: there are about 500 R codes and 100 datasets. These data can be freely downloaded from the author's website dartmouth.edu/~eugened.

This book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete real-world applications. 

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Yes, you can access Advanced Statistics with Applications in R by Eugene Demidenko 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
2019
Print ISBN
9781118387986
eBook ISBN
9781118594131

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Why I Wrote This Book
  6. Chapter 1 Discrete random variables
  7. Chapter 2 Continuous random variables
  8. Chapter 3 Multivariate random variables
  9. Chapter 4 Four important distributions in statistics
  10. Chapter 5 Preliminary data analysis and visualization
  11. Chapter 6 Parameter estimation
  12. Chapter 7 Hypothesis testing and confidence intervals
  13. Chapter 8 Linear model and its extensions
  14. Chapter 9 Nonlinear regression
  15. Chapter 10 Appendix
  16. Bibliography
  17. Index
  18. EULA