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Probability Books

You are currently browsing 1–10 of 160 new and published books in the subject of Probability — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books

  1. Markov Processes

    By James R. Kirkwood

    Series: Advances in Applied Mathematics

    Clear, rigorous, and intuitive, Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes and also as a reference for those that want to see detailed proofs of the theorems of Markov processes. It contains copious computational examples that...

    Published February 9th 2015 by CRC Press

  2. Mathematics for Economists with Applications

    By James Bergin

    Mathematics for Economists with Applications provides detailed coverage of the mathematical techniques essential for undergraduate and introductory graduate work in economics, business and finance. Beginning with linear algebra and matrix theory, the book develops the techniques of univariate and...

    Published December 18th 2014 by Routledge

  3. Stochastic Partial Differential Equations, Second Edition

    By Pao-Liu Chow

    Explore Theory and Techniques to Solve Physical, Biological, and Financial Problems Since the first edition was published, there has been a surge of interest in stochastic partial differential equations (PDEs) driven by the Lévy type of noise. Stochastic Partial Differential Equations, Second...

    Published December 10th 2014 by Chapman and Hall/CRC

  4. The Mathematics of Games

    An Introduction to Probability

    By David G. Taylor

    Series: Textbooks in Mathematics

    The Mathematics of Games: An Introduction to Probability takes an inquiry-based approach to teaching the standard material for an introductory probability course. It also discusses different games and ideas that relate to the law of large numbers, as well as some more mathematical topics not...

    Published December 1st 2014 by Chapman and Hall/CRC

  5. Sequential Analysis

    Hypothesis Testing and Changepoint Detection

    By Alexander Tartakovsky, Igor Nikiforov, Michele Basseville

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent...

    Published August 27th 2014 by Chapman and Hall/CRC

  6. Introduction to Probability

    By Joseph K. Blitzstein, Jessica Hwang

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google...

    Published July 24th 2014 by Chapman and Hall/CRC

  7. Multivariate Bonferroni-Type Inequalities

    Theory and Applications

    By John Chen

    Multivariate Bonferroni-Type Inequalities: Theory and Applications presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade. The emergence of new bounding approaches pushes the conventional definitions of optimal inequalities...

    Published July 22nd 2014 by Chapman and Hall/CRC

  8. Data Analysis and Approximate Models

    Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis

    By Patrick Laurie Davies

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    The First Detailed Account of Statistical Analysis That Treats Models as Approximations The idea of truth plays a role in both Bayesian and frequentist statistics. The Bayesian concept of coherence is based on the fact that two different models or parameter values cannot both be true. Frequentist...

    Published July 7th 2014 by Chapman and Hall/CRC

  9. Recursive Identification and Parameter Estimation

    By Han-Fu Chen, Wenxiao Zhao

    Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation problems arising from diverse areas. Supplying rigorous theoretical analysis, it presents the material and proposed algorithms in a manner that makes it easy to...

    Published June 23rd 2014 by CRC Press

  10. Basic Gambling Mathematics

    The Numbers Behind The Neon

    By Mark Bollman

    Understand the Math Underlying Some of Your Favorite Gambling Games Basic Gambling Mathematics: The Numbers Behind the Neon explains the mathematics involved in analyzing games of chance, including casino games, horse racing, and lotteries. The book helps readers understand the mathematical...

    Published June 13th 2014 by Chapman and Hall/CRC