Introduction to Probability

  • Introduction to Probability
    By Charles Miller Grinstead, James Laurie Snell

    The statistician Karl Pearson analyzed a large number of outcomes at certain roulette tables and suggested that the wheels were biased. He wrote in 1894: Clearly, since the Casino does not serve the valuable end of huge laboratory for ...

  • Introduction to Probability
    By John E. Freund

    A bowl contains 12 red beads, 10 white beads, 25 blue beads, and three black beads. If one bead is drawn at random, what is the probability that it will be (a) blue; (b) red or white; (0) black; ((1) neither white nor black?

  • Introduction to Probability
    By Joseph K. Blitzstein, Jessica Hwang

    ... Scientists D.J. Hand and C.C. Taylor Practical Data Analysis for Designed Practical Longitudinal Data Analysis D.J. Hand and M. Crowder Logistic Regression Models J.M. Hilbe Richly Parameterized Linear Models: Additive, Time Series, ...

  • Introduction to Probability
    By Charles Miller Grinstead, James Laurie Snell

    The text includes many computer programs that illustrate the algorithms or the methods of computation for important problems. The book is a beautiful introduction to probability theory at the beginning level.

  • Introduction to Probability
    By David F. Anderson, Timo Seppäläinen, Benedek Valkó

    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.

  • Introduction to Probability
    By Dimitri P. Bertsekas, John N. Tsitsiklis

    Introduction to Probability

  • Introduction to Probability
    By John E. Freund

    Featured topics include permutations and factorials, probabilities and odds, frequency interpretation, mathematical expectation, decision making, postulates of probability, rule of elimination, much more.

  • Introduction to Probability
    By Dimitri Bertsekas, John N. Tsitsiklis

    This is the currently used textbook for an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students, and for a leading online class on the subject.

  • Introduction to Probability
    By John B. Thomas

    Numerous examples are provided throughout the book. Many of these are of an elementary nature and are intended merely to illustrate textual material. A reasonable number of problems of varying difficulty are provided.

  • Introduction to Probability
    By Joseph K. Blitzstein, Jessica Hwang

    The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC).

  • Introduction to Probability
    By George G. Roussas

    This edition demonstrates the applicability of probability to many human activities with examples and illustrations.

  • Introduction to Probability
    By Joseph K. Blitzstein, Jessica Hwang

    The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional

  • Introduction to Probability: Theory and Applications
    By William Mendenhall, Richard L. Scheaffer

    Models of reality; Probability; Discrete random variables and their probability distributions; Continuous random variables and their probability distributions; Multivariate probability distributions; Functions of random variables; Some approximations to probability distributions:...

  • Introduction to Probability: Multivariate Models and Applications
    By Narayanaswamy Balakrishnan, Markos V. Koutras, Konstadinos G. Politis

    This important text: Includes classroom-tested problems and solutions to probability exercises Highlights real-world exercises designed to make clear the concepts presented Uses Mathematica software to illustrate the text’s computer ...

  • Introduction to Probability
    By John B. Thomas

    This book was written for an introductory one-term course in probability. It is intended to provide the minimum background in probability that is necessary for students interested in applications to...

  • Introduction to Probability
    By David F. Anderson, Timo Seppäläinen, Benedek Valkó

    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.

  • Introduction to Probability
    By David F. Anderson, Timo Seppäläinen, Benedek Valkó

    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.

  • Introduction to Probability: Multivariate Models and Applications
    By Narayanaswamy Balakrishnan, Markos V. Koutras, Konstadinos G. Politis

    This important text: Includes classroom-tested problems and solutions to probability exercises Highlights real-world exercises designed to make clear the concepts presented Uses Mathematica software to illustrate the text’s computer ...

  • Introduction to Probability
    By Douglas G. Kelly

    Designed for post-calculus undergraduate probability courses. This text thoroughly covers the concepts of probability, random variables, distributions, expected value, and the ramifications and applications of limit theorems....