Skip to main content
SpringerLink
Log in
Book cover

Probability

  • Textbook
  • © 1993

Overview

Authors:
  1. Jim Pitman

    1. Department of Statistics, University of California, Berkeley, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 64.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 84.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction

    • Jim Pitman
    Pages 1-77

  3. Repeated Trials and Sampling

    • Jim Pitman
    Pages 79-137

  4. Random Variables

    • Jim Pitman
    Pages 139-258

  5. Continuous Distributions

    • Jim Pitman
    Pages 259-338

  6. Continuous Joint Distributions

    • Jim Pitman
    Pages 339-392

  7. Dependence

    • Jim Pitman
    Pages 393-473

  8. Back Matter

    Pages 475-560
    Download chapter PDF
Back to top

Keywords

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.

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

Publish with us

Policies and ethics

Back to top

Search

Navigation