Elements of Probability Theory
eBook - PDF

Elements of Probability Theory

  1. 172 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Elements of Probability Theory

Book details
Table of contents
Citations

About This Book

Elements of Probability Theory focuses on the basic ideas and methods of the theory of probability. The book first discusses events and probabilities, including the classical meaning of probability, fundamental properties of probabilities, and the primary rule for the multiplication of probabilities. The text also touches on random variables and probability distributions.

Topics include discrete and random variables; functions of random variables; and binomial distributions. The selection also discusses the numerical characteristics of probability distributions; limit theorems and estimates of the mean; and the law of large numbers. The text also describes linear correlation, including conditional expectations and their properties, coefficient of correlation, and best linear approximation to the regression function. The book presents tables that show the values of the normal probability integral, Poisson distribution, and values of the normal probability density.

The text is a good source of data for readers and students interested in probability theory.

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Yes, you can access Elements of Probability Theory by L. Z. Rumshiskii in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Pergamon
Year
2016
ISBN
9781483136004
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Elements of Probability Theory
  3. Copyright Page
  4. Table of Contents
  5. FOREWORD
  6. TRANSLATOR'S PREFACE
  7. INTRODUCTION
  8. CHAPTER I. EVENTS AND PROBABILITIES
  9. CHAPTER II. RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS
  10. CHAPTER III. NUMERICAL CHARACTERISTICS OF PROBABILITY DISTRIBUTIONS
  11. CHAPTER IV. THE LAW OF LARGE NUMBERS
  12. CHAPTER V. LIMIT THEOREMS AND ESTIMATES OF THE MEAN
  13. CHAPTER VI. APPLICATIONS OF PROBABILITY TO THE THEORY OF OBSERVATIONS
  14. CHAPTER VII. LINEAR CORRELATION
  15. ANSWERS TO EXERCISES
  16. APPENDIX. TABLES
  17. INDEX