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Introduction to probability

Author: Joseph K Blitzstein; Jessica Hwang
Publisher: Boca Raton : CRC Press/Taylor & Francis Group, [2015] ©2015
Series: Texts in statistical science.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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  Read more...
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Genre/Form: Electronic books
Textbooks
Electronic book
Additional Physical Format: Print version:
Blitzstein, Joseph K.
Introduction to probability
(DLC) 2014022709
(OCoLC)881387933
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Joseph K Blitzstein; Jessica Hwang
ISBN: 9781498704786 1498704786 9781466575592 146657559X
OCLC Number: 906040690
Notes: "A Chapman & Hall book."
Description: 1 online resource (xv, 570 pages) : illustrations.
Contents: 1. Probability and counting --
2. Conditional probability --
3. Random variables and their distributions --
4. Expectation --
5. Continuous random variables --
6. Moments --
7. Joint distributions --
8. Transformations --
9. Conditional expectation --
10. Inequalities and limit theorems --
11. Markov chains --
12. Markov chain Monte Carlo --
13. Poisson processes --
Appendices.
Series Title: Texts in statistical science.
Responsibility: Joseph K. Blitzstein, Jessica Hwang.

Abstract:

"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"--Provided by publisher.

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"... a welcome addition ... The authors-wisely, in this reviewer's opinion-take special care to maintain a conversational tone to prioritize accessibility instead. The result is a very readable text Read more...

 
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