Probability for Applications

  • Paul E. Pfeiffer

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

Table of contents

  1. Front Matter
    Pages i-xix
  2. Basic Probability

    1. Front Matter
      Pages 1-1
    2. Paul E. Pfeiffer
      Pages 3-24
    3. Paul E. Pfeiffer
      Pages 25-43
    4. Paul E. Pfeiffer
      Pages 44-48
    5. Paul E. Pfeiffer
      Pages 49-71
    6. Paul E. Pfeiffer
      Pages 73-87
    7. Paul E. Pfeiffer
      Pages 89-122
    8. Paul E. Pfeiffer
      Pages 123-142
  3. Random Variables and Distributions

    1. Front Matter
      Pages 143-143
    2. Paul E. Pfeiffer
      Pages 145-159
    3. Paul E. Pfeiffer
      Pages 160-163
    4. Paul E. Pfeiffer
      Pages 165-195
    5. Paul E. Pfeiffer
      Pages 197-213
    6. Paul E. Pfeiffer
      Pages 215-232
    7. Paul E. Pfeiffer
      Pages 233-265
    8. Paul E. Pfeiffer
      Pages 266-271
  4. Mathematical Expectation

    1. Front Matter
      Pages 273-273
    2. Paul E. Pfeiffer
      Pages 275-285
    3. Paul E. Pfeiffer
      Pages 287-311

About this book

Introduction

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.

Keywords

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

Authors and affiliations

  • Paul E. Pfeiffer
    • 1
  1. 1.Department of Mathematical SciencesRice UniversityHoustonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-7676-1
  • Copyright Information Springer-Verlag New York 1990
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4615-7678-5
  • Online ISBN 978-1-4615-7676-1
  • Series Print ISSN 1431-875X
  • About this book