Description

Book Synopsis
Professor Ità is one of the most distinguished probability theorists in the world, and in this modern, concise introduction to the subject he explains basic probabilistic concepts rigorously and yet gives at the same time an intuitive understanding of random phenomena. In the first chapter he considers finite situations, but from an advanced standpoint that enables the transition to greater generality to be achieved more easily. Chapter 2 deals with probability measures and includes a discussion of the fundamental concepts of probability theory. These concepts are formulated abstractly but without sacrificing intuition. The last chapter is devoted to infinite sums of independent real random variables. Each chapter is divided into sections that end with a set of problems with hints for solution. This textbook will be particularly valuable to students of mathematics taking courses in probability theory who need a modern introduction to the subject that yet does not allow overemphasis on

Table of Contents
Preface; 1. Finite trials; 2. Probability measures; 3. Fundamental concepts in probability theory; 4. Sums of independent random variables; Index.

An Introduction to Probability Theory 001

    Product form

    £41.79

    Includes FREE delivery

    RRP £43.99 – you save £2.20 (5%)

    Order before 4pm today for delivery by Sat 27 Jun 2026.

    A Paperback by K. Itô

    15 in stock


      View other formats and editions of An Introduction to Probability Theory 001 by K. Itô

      Publisher: Cambridge University Press
      Publication Date: 9/28/1984 12:00:00 AM
      ISBN13: 9780521269605, 978-0521269605
      ISBN10: 0521269601

      Description

      Book Synopsis
      Professor Ità is one of the most distinguished probability theorists in the world, and in this modern, concise introduction to the subject he explains basic probabilistic concepts rigorously and yet gives at the same time an intuitive understanding of random phenomena. In the first chapter he considers finite situations, but from an advanced standpoint that enables the transition to greater generality to be achieved more easily. Chapter 2 deals with probability measures and includes a discussion of the fundamental concepts of probability theory. These concepts are formulated abstractly but without sacrificing intuition. The last chapter is devoted to infinite sums of independent real random variables. Each chapter is divided into sections that end with a set of problems with hints for solution. This textbook will be particularly valuable to students of mathematics taking courses in probability theory who need a modern introduction to the subject that yet does not allow overemphasis on

      Table of Contents
      Preface; 1. Finite trials; 2. Probability measures; 3. Fundamental concepts in probability theory; 4. Sums of independent random variables; Index.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account