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Introduction to probability

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Baco Raton CRC press 2019Edition: 2nd edDescription: xv, 619p. illISBN:
  • 9781138369917 (HB)
Subject(s):
Contents:
Probability and counting -- Conditional probability -- Random variables and their distributions -- Expectation -- Continuous random variables -- Moments -- Joint distributions -- Transformations -- Conditional expectation -- Inequalities and limit theorems -- Markov chains -- Markov chain Monte Carlo -- Poisson processes.
Summary: "Undergraduate probability book that assumes one-semester of calculus. One key is the emphasis on "stories" for the probability distributions (which I mean in both an intuitive and technical sense): there are a dozen or so key distributions (Normal, Binomial, Poisson, etc.) that are incredibly widely-used in statistics, but a lot of books just write down formulas for them without explaining clearly why these particular distributions are so important, or how they are all connected. Each of these distributions has a "story" (a natural application where it arises), and thinking about stories makes the distributions easier to remember, understand, and work with"--
Item type: BOOKS List(s) this item appears in: New Arrivals (17 March 2025)
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Holdings
Home library Call number Materials specified Status Date due Barcode
IMSc Library 519.21 BLI (Browse shelf(Opens below)) Checked out 11/03/2026 78339

Includes index

Includes bibliography (p. 607-608) and references

Probability and counting -- Conditional probability -- Random variables and their distributions -- Expectation -- Continuous random variables -- Moments -- Joint distributions -- Transformations -- Conditional expectation -- Inequalities and limit theorems -- Markov chains -- Markov chain Monte Carlo -- Poisson processes.

"Undergraduate probability book that assumes one-semester of calculus. One key is the emphasis on "stories" for the probability distributions (which I mean in both an intuitive and technical sense): there are a dozen or so key distributions (Normal, Binomial, Poisson, etc.) that are incredibly widely-used in statistics, but a lot of books just write down formulas for them without explaining clearly why these particular distributions are so important, or how they are all connected. Each of these distributions has a "story" (a natural application where it arises), and thinking about stories makes the distributions easier to remember, understand, and work with"--

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The Institute of Mathematical Sciences, Chennai, India