books about: probability
 
 



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Probability Theory: A Comprehensive Course (Universitext)
Achim Klenke

Springer, 2013

This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils of random developments at financial markets, and they guide us in constructing more efficient algorithms. ...
  
  











  



  
Probability: With Applications and R
Robert P. Dobrow

Wiley, 2013

An introduction to probability at the undergraduate level Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability. With real-life examples and thoughtful exercises from fields as diverse as biology, computer science, cryptology, ecology, public ...
  
  











  



  
Probability Theory: A Concise Course (Dover Books on Mathematics)
Y.A. Rozanov

Dover Publications, 1977

This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. Indispensable to mathematicians and natural scientists alike.
  
  











  



  
Fifty Challenging Problems in Probability with Solutions (Dover Books on Mathematics)
Frederick Mosteller

Dover Publications, 1987

Can you solve the problem of "The Unfair Subway"? Marvin gets off work at random times between 3 and 5 p.m. His mother lives uptown, his girlfriend downtown. He takes the first subway that comes in either direction and eats dinner with the one he is delivered to. His mother complains that he never comes to see her, but he says she has a 50-50 chance. He has had dinner with her twice in the last 20 working days. Explain. Marvin's adventures ...
  
  











  



  
A First Course in Probability (9th Edition)
Sheldon Ross

Pearson, 2012

A First Course in Probability, Ninth Edition , features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.
  
  











  



  
Probability (Springer Texts in Statistics)
Jim Pitman

Springer, 1999

Preface to the Instructor This is a text for a one-quarter or one-semester course in probability, aimed at stu­ dents who have done a year of calculus. The book is organized so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail. It is not ...
  
  











  



  
Probability Demystified 2/E
Allan Bluman

McGraw-Hill Professional, 2012

Stack the odds in your favor for mastering probability Don't leave your knowledge of probability to chance. Instead, turn to Probability Demystified , Second Edition, for learning fundamental concepts and theories step-by-step. This practical guide eases you into the subject of probability using familiar items such as coins, cards, and dice. As you progress, you will master concepts such as addition and multiplication rules, odds and ...
  
  











  



  
Probability Theory: The Logic of Science
E. T. Jaynes

Cambridge University Press, 2003

Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of ...
  
  











  



  
Probability For Dummies
Deborah J. Rumsey

For Dummies, 2006

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 ...
  
  











  



  
Introduction to Probability, 2nd Edition
Dimitri P. Bertsekas, John N. Tsitsiklis

Athena Scientific, 2008

An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the addition of new material. The length of the book has increased by about 25 percent. The main new feature of the 2nd edition is thorough introduction to Bayesian and ...
  
  











  



  
Probability and Statistics (4th Edition)
Morris H. DeGroot, Mark J. Schervish

Pearson, 2011

The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
  
  











  



  
Understanding Probability
Henk Tijms

Cambridge University Press, 2012

Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises ...
  
  











  



  
CK-12 Probability and Statistics - Basic (a Short Course)

CK-12 Foundation, 2012

CK-12 Foundation’s Basic Probability and Statistics – A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.
  
  











  



  
Probability: An Introduction
Samuel Goldberg, Mathematics

Dover Publications, 1987

Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, and other key concepts and methods essential to a thorough understanding of probability. Designed for use by math or statistics departments offering a first course in probability. 360 illustrative problems with answers for half. Only high ...
  
  











  



  
Probability: A Very Short Introduction
John Haigh

Oxford University Press, 2012

Making good decisions under conditions of uncertainty requires a sound appreciation of the way random chance works. It requires, in short, an understanding of probability. In this Very Short Introduction , John Haigh introduces the ideas of probability--and the different philosophical approaches to probability--and gives a brief account of the history of development of probability theory, from Galileo and Pascal to Bayes, Laplace, Poisson, and ...
  
  











  



  
Basic Probability Theory (Dover Books on Mathematics)
Robert B. Ash

Dover Publications, 2008

This introduction to more advanced courses in probability and real analysis emphasizes the probabilistic way of thinking, rather than measure-theoretic concepts. Geared toward advanced undergraduates and graduate students, its sole prerequisite is calculus. Taking statistics as its major field of application, the text opens with a review of basic concepts, advancing to surveys of random variables, the properties of expectation, conditional ...
  
  











  



  
Schaum's Outline of Probability, Second Edition (Schaum's Outline Series)
Seymour Lipschutz, Marc Lipson

McGraw-Hill, 2011

The ideal review for your probability course More than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in ...
  
  











  



  
Probability Quick Study Reference Outline
Ravi Behara

BarCharts, 2010

BarCharts’ handy 3-panel guide can make even the most complicated probability equations a breeze. Definitions, hints and sample problems are contained within each page, along with full-color illustrations and graphs highlighting specific problems. The “probability” of attaining better grades with this excellent reference tool is very good!
  
  











  



  
CK-12 Probability and Statistics - Advanced (Second Edition), Volume 1 Of 2

CK-12 Foundation, 2012

CK-12’s Advanced Probability and Statistics-Second Edition is a clear presentation of the basic topics in statistics and probability, but finishes with the rigorous topics an advanced placement course requires. Volume 1 includes the first 6 chapters and covers the following topics: Analyzing Statistical Data, Visualizations of Data, Discrete Probability Distribution, Normal Distribution, and Experimentation.
  
  











  



  
Lady Luck: The Theory of Probability (Dover Books on Mathematics)
Warren Weaver

Dover Publications, 1982

"Should I take my umbrella?" "Should I buy insurance?" "Which horse should I bet on?" Every day ― in business, in love affairs, in forecasting the weather or the stock market questions arise which cannot be answered by a simple "yes" or "no." Many of these questions involve probability. Probabilistic thinking is as crucially important in ordinary affairs as it is in the most abstruse realms of science. This book is the best nontechnical ...
  
  











  








   



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