Introduction to Probability with R (Texts in Statistical Science (Chapman & Hall/CRC)) (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC 2008-01-24, 2008
Series: Book 18 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Hardcover
- New
Seller: Chiron Media, Wallingford, United KingdomChiron Media
AbeBooks seller since August 2, 2010
Condition: New
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Add to basketSeller Inventory # 6666-TNFPD-9781420065213
- Title
- Introduction to Probability with R (Texts in Statistical Science (Chapman & Hall/CRC)) (Chapman & Hall/CRC Texts in Statistical Science)
- Author
- Kenneth Baclawski, Jim Zidek, Bradley. P. Carlin, Martin A. Tanner, Julian J. Faraway
- Publisher
- Chapman and Hall/CRC 2008-01-24
- Publication year
- 2008
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1420065211
- ISBN 13
- 9781420065213
- Series
- Book 18 of 126: Chapman & Hall/CRC Texts in Statistical Science
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they are just as sophisticated and powerful as longer programs in other languages. This brevity makes it easy for students to become proficient in R.
This calculus-based introduction organizes the material around key themes. One of the most important themes centers on viewing probability as a way to look at the world, helping students think and reason probabilistically. The text also shows how to combine and link stochastic processes to form more complex processes that are better models of natural phenomena. In addition, it presents a unified treatment of transforms, such as Laplace, Fourier, and z; the foundations of fundamental stochastic processes using entropy and information; and an introduction to Markov chains from various viewpoints. Each chapter includes a short biographical note about a contributor to probability theory, exercises, and selected answers.
The book has an accompanying website with more information.
"Synopsis" may belong to another edition of this title.
About the Author
Kenneth Baclawski
"About the title" may belong to another edition of this title.
Chiron Media
Wallingford, United Kingdom
AbeBooks seller since August 2, 2010
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