Understanding and Calculating the Odds


Book Description

This book presents not only the mathematical concept of probability, but also its philosophical aspects, the relativity of probability and its applications and even the psychology of probability. All explanations are made in a comprehensible manner and are supported with suggestive examples from nature and daily life, and even with challenging math paradoxes. (Mathematics)




Head First Statistics


Book Description

A comprehensive introduction to statistics that teaches the fundamentals with real-life scenarios, and covers histograms, quartiles, probability, Bayes' theorem, predictions, approximations, random samples, and related topics.




All the Right Angles


Book Description

A visual reference to the mathematics of sports.




The Logic Of Sports Betting


Book Description

How do sportsbooks make their lines? Which types of bets are the best? Can you beat the house? The Logic Of Sports Betting answers all these questions and more with a dash of humor and a whole lot of real talk about how it all works. Peek behind the counter and learn how sportsbooks operate. Combine that insider knowledge with why-didn't-I-think-of-that sports betting logic, and you have the winning formula. Ed Miller is a best-selling (over 300,000 copies sold) author of books on poker and gambling. This is his first book on sports betting, but maybe his favorite book to write so far. Matthew Davidow is a sports modeler, using proprietary methods to beat major sports betting markets for over 15 years, and co-founding two leading private sports analytics firms along the way. What people are saying about The Logic Of Sports Betting "Matt and Ed are two of the smartest minds in sports betting." - Rufus Peabody, professional sports bettor "As a sportsbook employee for 30-plus years, I find it difficult to read or watch anything about sports betting. But I could not put The Logic Of Sports Betting down. It's that good." - Robert Walker, Las Vegas bookmaker




Calculated Bets


Book Description

A story of using computer simulations and mathematical modeling techniques to predict the outcome of jai-alai matches and bet on them successfully.




The Probability of God


Book Description

Does God exist? This is probably the most debated question in the history of mankind. Scholars, scientists, and philosophers have spent their lifetimes trying to prove or disprove the existence of God, only to have their theories crucified by other scholars, scientists, and philosophers. Where the debate breaks down is in the ambiguities and colloquialisms of language. But, by using a universal, unambiguous language—namely, mathematics—can this question finally be answered definitively? That’s what Dr. Stephen Unwin attempts to do in this riveting, accessible, and witty book, The Probability of God. At its core, this groundbreaking book reveals how a math equation developed more than 200 years ago by noted European philosopher Thomas Bayes can be used to calculate the probability that God exists. The equation itself is much more complicated than a simple coin toss (heads, He’s up there running the show; tails, He’s not). Yet Dr. Unwin writes with a clarity that makes his mathematical proof easy for even the nonmathematician to understand and a verve that makes his book a delight to read. Leading you carefully through each step in his argument, he demonstrates in the end that God does indeed exist. Whether you’re a devout believer and agree with Dr. Unwin’s proof or are unsure about all things divine, you will find this provocative book enlightening and engaging. “One of the most innovative works [in the science and religion movement] is The Probability of God...An entertaining exercise in thinking.”—Michael Shermer, Scientific American “Unwin’s book [is] peppered with wry, self-deprecating humor that makes the scientific discussions more accessible...Spiritually inspiring.”--Chicago Sun Times “A pleasantly breezy account of some complicated matters well worth learning about.”--Philadelphia Inquirer “One of the best things about the book is its humor.”--Cleveland Plain Dealer “In a book that is surprisingly lighthearted and funny, Unwin manages to pack in a lot of facts about science and philosophy.”--Salt Lake Tribune




Introduction to Probability


Book Description

This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.




Probability For Dummies


Book Description

Packed with practical tips and techniques for solving probability problems Increase your chances of acing that probability exam -- or winning at the casino! Whether you're hitting the books for a probability or statistics course or hitting the tables at a casino, working out probabilities can be problematic. This book helps you even the odds. Using easy-to-understand explanations and examples, it demystifies probability -- and even offers savvy tips to boost your chances of gambling success! Discover how to * Conquer combinations and permutations * Understand probability models from binomial to exponential * Make good decisions using probability * Play the odds in poker, roulette, and other games




Texas Hold'em Odds


Book Description

Odds are part of any gambling strategy and Texas Hold'em Poker is highly predisposed to probability-based decisions. This book presents the mathematics involved in card distributions in Texas Hold'em and provides a precise account of the odds associated with all gaming events. The author is a recognized authority on casino mathematics. He is member of applied mathematics societies and has published numerous articles in leading academic, gaming industry and applied mathematics journals. He is also the author of "Probability Guide of Gambling." No formal background in mathematics is necessary for reading this book, although comfort with some probability and set theory notions is helpful. In most cases, you'll need some college math to follow the formulas here, but this is not a requirement, because the numerical results are collected in tables at the end of each section. The work is packed with formulas, algorithms and tables. Its' primary goal is to allow the reader to quickly find the odds for their hand and for their opponent's hand, in order to improve his/her betting decisions. Every type of card distribution is tabulated in a logical, consistent and comprehensive manner. The complete methodology and all the calculations are shown, so it teaches the player how to calculate probability for any situation for every stage of the game, even for other card games. You will find here the real odds, returned by precise mathematical formulas and not by partial simulations that most software uses. The book contains new and original material that has not been done previously and provides a full coverage of Hold'em odds: - Immediate odds (pre-flop odds, flop odds, turn odds, river odds, odds ofimproving specific hands). - Long-shot odds (odds of achieving specific card formations by river) for own hand, in after-flop and after-turn stages. - Long-shot odds for opponent's hand (odds for one and at least one of your opponents to achieve specific card formations by river), in after-flop, after-turn and after-river stages. - Other odds. Concrete examples of calculations and usage of tables are attached to each section. Also, a special chapter of examples is included for a good understanding of how to count and compare the odds for expected card formations and the odds of possible higher formations of opponents. Such information is a must for any Hold'em player - either beginner or advanced - and this book is a trusted and professional source.




Knowing the Odds


Book Description

John Walsh, one of the great masters of the subject, has written a superb book on probability. It covers at a leisurely pace all the important topics that students need to know, and provides excellent examples. I regret his book was not available when I taught such a course myself, a few years ago. —Ioannis Karatzas, Columbia University In this wonderful book, John Walsh presents a panoramic view of Probability Theory, starting from basic facts on mean, median and mode, continuing with an excellent account of Markov chains and martingales, and culminating with Brownian motion. Throughout, the author's personal style is apparent; he manages to combine rigor with an emphasis on the key ideas so the reader never loses sight of the forest by being surrounded by too many trees. As noted in the preface, “To teach a course with pleasure, one should learn at the same time.” Indeed, almost all instructors will learn something new from the book (e.g. the potential-theoretic proof of Skorokhod embedding) and at the same time, it is attractive and approachable for students. —Yuval Peres, Microsoft With many examples in each section that enhance the presentation, this book is a welcome addition to the collection of books that serve the needs of advanced undergraduate as well as first year graduate students. The pace is leisurely which makes it more attractive as a text. —Srinivasa Varadhan, Courant Institute, New York This book covers in a leisurely manner all the standard material that one would want in a full year probability course with a slant towards applications in financial analysis at the graduate or senior undergraduate honors level. It contains a fair amount of measure theory and real analysis built in but it introduces sigma-fields, measure theory, and expectation in an especially elementary and intuitive way. A large variety of examples and exercises in each chapter enrich the presentation in the text.