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Probability

  • Textbook
  • © 1993

Overview

Part of the book series: Springer Texts in Statistics (STS)

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About this book

This is a text for a one-quarter or one-semester course in probability, aimed at students who have done a year of calculus. The book is organised 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.

The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theorems and proofs. So the emphasis is on problem solving rather than theory.

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Keywords

Table of contents (6 chapters)

Authors and Affiliations

  • Department of Statistics, University of California, Berkeley, USA

    Jim Pitman

About the author

Jim Pitman is a Professor in the Departments of Statistics and Mathematics in the University of California at Berkeley, USA. 

Bibliographic Information

  • Book Title: Probability

  • Authors: Jim Pitman

  • Series Title: Springer Texts in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-4374-8

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 1993

  • Hardcover ISBN: 978-0-387-97974-8Published: 12 May 1993

  • Softcover ISBN: 978-0-387-94594-1Published: 11 September 1995

  • eBook ISBN: 978-1-4612-4374-8Published: 06 December 2012

  • Series ISSN: 1431-875X

  • Series E-ISSN: 2197-4136

  • Edition Number: 1

  • Number of Pages: XI, 560

  • Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods

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