
Introduction to Probability with Texas Hold 'em Examples
Frederic Paik Schoenberg(Author)
CRC Press
2nd Edition
Published on 13. November 2017
Book
Hardback
296 pages
978-1-138-46965-5 (ISBN)
Description
Introduction to Probability with Texas Hold'em Examples illustrates both standard and advanced probability topics using the popular poker game of Texas Hold'em, rather than the typical balls in urns. The author uses students' natural interest in poker to teach important concepts in probability.
More details
Edition
2nd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Dimensions
Height: 216 mm
Width: 138 mm
Weight
710 gr
ISBN-13
978-1-138-46965-5 (9781138469655)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Frederic Paik Schoenberg
Introduction to Probability with Texas Hold 'em Examples
E-Book
12/2016
2nd Edition
Chapman & Hall/CRC
€88.49
Available for download

Frederic Paik Schoenberg
Introduction to Probability with Texas Hold 'em Examples
E-Book
12/2016
2nd Edition
Chapman & Hall/CRC
€88.49
Available for download

Frederic Paik Schoenberg
Introduction to Probability with Texas Hold 'em Examples
Book
11/2016
2nd Edition
Chapman & Hall/CRC
€103.07
Shipment within 15-20 days
Person
Frederic Paik Schoenberg is a professor and graduate vice-chair of statistics at UCLA. He is also co-editor of the Journal of Environmental Statistics. He earned a Ph.D. in statistics from UC Berkeley. His research interests include point processes, image analysis, time series, and applications in seismology and fire ecology.
Content
Probability Basics. Meaning of Probability. Basic Terminology. Axioms of Probability. Venn Diagrams. General Addition Rule. Counting Problems. Sample Spaces with Equally Probable Events. Multiplicative Counting Rule. Permutations. Combinations. Conditional Probability and Independence. Conditional Probability. Independence. Multiplication Rules. Bayes' Rule and Structured Hand Analysis. Expected Value and Variance. Cumulative Distribution Function and Probability Mass Function. Expected Value. Pot Odds. Luck and Skill in Texas Hold'em. Variance and Standard Deviation. Markov and Chebyshev Inequalities. Moment Generating Functions. Discrete Random Variables. Bernoulli Random Variables. Binomial Random Variables. Geometric Random Variables. Negative Binomial Random Variables. Poisson Random Variables. Continuous Random Variables. Probability Density Functions. Expected Value, Variance, and Standard Deviation. Uniform Random Variables Exponential Random Variables. Normal Random Variables. Pareto Random Variables. Continuous Prior and Posterior Distributions. Collections of Random Variables. Expected Value and Variance of Sums of Random Variables. Conditional Expectation Laws of Large Numbers and the Fundamental Theorem of Poker. Central Limit Theorem. Confidence Intervals for the Sample Mean. Random Walks. Simulation and Approximation Using Computers. Appendix A: Abbreviated Rules of Texas Hold'em. Appendix B: Glossary of Poker Terms. Appendix C: Solutions to Selected Odd-Numbered Exercises. References and Suggested Reading. Index.