© 1990

Probability for Applications


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

Table of contents

  1. Mathematical Expectation

    1. Paul E. Pfeiffer
      Pages 312-322
    2. Paul E. Pfeiffer
      Pages 323-354
    3. Paul E. Pfeiffer
      Pages 355-370
    4. Paul E. Pfeiffer
      Pages 371-391
    5. Paul E. Pfeiffer
      Pages 393-408
    6. Paul E. Pfeiffer
      Pages 409-441
  2. Conditional Expectation

    1. Front Matter
      Pages 443-443
    2. Paul E. Pfeiffer
      Pages 445-480
    3. Paul E. Pfeiffer
      Pages 481-490
    4. Paul E. Pfeiffer
      Pages 491-540
    5. Paul E. Pfeiffer
      Pages 541-567
    6. 21a
      Paul E. Pfeiffer
      Pages 568-581
    7. Paul E. Pfeiffer
      Pages 583-604
    8. Paul E. Pfeiffer
      Pages 605-614
    9. Paul E. Pfeiffer
      Pages 615-660
    10. Paul E. Pfeiffer
      Pages 661-668
  3. Back Matter
    Pages 669-681

About this book


Objecti'ves. As the title suggests, this book provides an introduction to probability designed to prepare the reader for intelligent and resourceful applications in a variety of fields. Its goal is to provide a careful exposition of those concepts, interpretations, and analytical techniques needed for the study of such topics as statistics, introductory random processes, statis­ tical communications and control, operations research, or various topics in the behavioral and social sciences. Also, the treatment should provide a background for more advanced study of mathematical probability or math­ ematical statistics. The level of preparation assumed is indicated by the fact that the book grew out of a first course in probability, taken at the junior or senior level by students in a variety of fields-mathematical sciences, engineer­ ing, physics, statistics, operations research, computer science, economics, and various other areas of the social and behavioral sciences. Students are expected to have a working knowledge of single-variable calculus, including some acquaintance with power series. Generally, they are expected to have the experience and mathematical maturity to enable them to learn new concepts and to follow and to carry out sound mathematical arguments. While some experience with multiple integrals is helpful, the essential ideas can be introduced or reviewed rather quickly at points where needed.


Conditional probability Likelihood Normal distribution Probability distribution Probability theory Random variable Variance correlation linear regression standard deviation

Authors and affiliations

  1. 1.Department of Mathematical SciencesRice UniversityHoustonUSA

Bibliographic information

  • Book Title Probability for Applications
  • Authors Paul E. Pfeiffer
  • Series Title Springer Texts in Statistics
  • DOI
  • Copyright Information Springer-Verlag New York 1990
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-387-97138-4
  • Softcover ISBN 978-1-4615-7678-5
  • eBook ISBN 978-1-4615-7676-1
  • Series ISSN 1431-875X
  • Edition Number 1
  • Number of Pages XIX, 679
  • Number of Illustrations 41 b/w illustrations, 0 illustrations in colour
  • Topics Probability Theory and Stochastic Processes
  • Buy this book on publisher's site