Introduction to Probability

Joseph K. Blitzstein, Jessica Hwang

VitalSource eBook access code and instructions will be provided within the print book.

July 24, 2014 by Chapman and Hall/CRC
Textbook - 596 Pages - 115 B/W Illustrations
ISBN 9781466575578 - CAT# K16714
Series: Chapman & Hall/CRC Texts in Statistical Science

USD$107.00

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Features

  • Presents definitions, theorems, and proofs through stories that preserve mathematical precision and generality
  • Focuses on real-world relevance and statistical thinking
  • Includes interesting modern applications, such as Google PageRank, legal and medical examples, and applications of MCMC to ecology and cryptography
  • Explains and connects the most important distributions used in statistics
  • Contains nearly 600 exercises that reinforce understanding of the material instead of requiring repetitive calculations
  • Supplements key concepts with memorable diagrams
  • Explains how to run simulations, make visualizations, and perform statistical calculations using R, a free statistical software environment

A Solutions Manual is available upon qualifying course adoption.

Summary

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version.

The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces.

The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

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