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Introduction to Probability: Second Revised Edition
 
Charles M. Grinstead Swarthmore College, Swarthmore, PA
J. Laurie Snell Dartmouth College, Hanover, NH
Introduction to Probability
Softcover ISBN:  978-0-8218-9414-9
Product Code:  IPROB.S
List Price: $79.00
MAA Member Price: $71.10
AMS Member Price: $63.20
Introduction to Probability
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Introduction to Probability: Second Revised Edition
Charles M. Grinstead Swarthmore College, Swarthmore, PA
J. Laurie Snell Dartmouth College, Hanover, NH
Softcover ISBN:  978-0-8218-9414-9
Product Code:  IPROB.S
List Price: $79.00
MAA Member Price: $71.10
AMS Member Price: $63.20
  • Book Details
     
     
    1997; 510 pp
    MSC: Primary 60;

    This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject.

    The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not emphasize an overly rigorous or formal view of probabililty and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions.

    Features:

    • Key ideas are developed in a somewhat leisurely style, providing a variety of interesting applications to probability and showing some nonintuitive ideas.
    • Over 600 exercises provide the opportunity for practicing skills and developing a sound understanding of ideas.
    • Numerous historical comments deal with the development of discrete probability.
    • The text includes many computer programs that illustrate the algorithms or the methods of computation for important problems.
    Readership

    Instructors of mathematics, physical and social science, engineering, and computer science interested in probability theory and stochastic processes.

  • Reviews
     
     
    • The book is a beautiful introduction to probability theory at the beginning level. The book contains a lot of examples and an easy development of theory without any sacrifice of rigor, keeping the abstraction to a minimal level. It is indeed a valuable addition to the study of probability theory.

      Zentralblatt MATH
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Desk Copy – for instructors who have adopted an AMS textbook for a course
    Examination Copy – for faculty considering an AMS textbook for a course
    Permission – for use of book, eBook, or Journal content
    Accessibility – to request an alternate format of an AMS title
1997; 510 pp
MSC: Primary 60;

This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject.

The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not emphasize an overly rigorous or formal view of probabililty and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions.

Features:

  • Key ideas are developed in a somewhat leisurely style, providing a variety of interesting applications to probability and showing some nonintuitive ideas.
  • Over 600 exercises provide the opportunity for practicing skills and developing a sound understanding of ideas.
  • Numerous historical comments deal with the development of discrete probability.
  • The text includes many computer programs that illustrate the algorithms or the methods of computation for important problems.
Readership

Instructors of mathematics, physical and social science, engineering, and computer science interested in probability theory and stochastic processes.

  • The book is a beautiful introduction to probability theory at the beginning level. The book contains a lot of examples and an easy development of theory without any sacrifice of rigor, keeping the abstraction to a minimal level. It is indeed a valuable addition to the study of probability theory.

    Zentralblatt MATH
Review Copy – for publishers of book reviews
Desk Copy – for instructors who have adopted an AMS textbook for a course
Examination Copy – for faculty considering an AMS textbook for a course
Permission – for use of book, eBook, or Journal content
Accessibility – to request an alternate format of an AMS title
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