Statistical inference for data… by Brian Caffo [PDF/iPad/Kindle]
Statistical inference for data science
Statistical inference for data science
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Statistical inference for data science

This book is 99% complete

Last updated on 2016-05-24

About the Book

The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming.  The book gives a rigorous treatment of the elementary concepts in statistical inference from a classical frequentist perspective. After reading this book and performing the exercises, the student will understand the basics of hypothesis testing, confidence intervals and probability. Check out the status of the book at github https://github.com/bcaffo/LittleInferenceBook

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The Book
  • English

  • PDF

  • EPUB

  • MOBI

  • APP

Free!
Minimum
$14.99
Suggested
The Book + Videos

This is the book plus all of the videos in MP4 format. Not necessary if you just want to watch the videos on YouTube or Coursera.

Includes:

  • extras
    Videos

    Video lectures associated with the book.

  • English

  • PDF

  • EPUB

  • MOBI

  • APP

$14.99
Minimum
$19.99
Suggested
The book + videos + homework videos + github repos

This contains the book, the videos for the course, the homework solutions and the course repositories. Not necessary if you want to get the videos on YouTube or Coursera and the repos from github.

Includes:

  • extras
    Videos

    Video lectures associated with the book.

  • extras
    Homework Videos

    This is all of the homework videos downloadable. The filename contains the problem numbers. These are all available on YouTube as well.

  • extras
    Github repos

    This contains the github repo for the Coursera Class and the homework.

  • English

  • PDF

  • EPUB

  • MOBI

  • APP

$19.99
Minimum
$24.99
Suggested

About the Author

Brian Caffo
Brian Caffo

Brian Caffo is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He coleads a working  group, www.smart-stats.org, that focuses on the statistical analysis of imaging and biosignals. He is the recipient of the Presidential Early Career Award for Scientists and Engineers and was named a fellow of the American Statistical Association. 

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