Mathematical Theory of Probability and Statistics
eBook - PDF

Mathematical Theory of Probability and Statistics

  1. 708 pages
  2. English
  3. PDF
  4. Only available on web
eBook - PDF

Mathematical Theory of Probability and Statistics

Book details
Table of contents
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About This Book

Mathematical Theory of Probability and Statistics focuses on the contributions and influence of Richard von Mises on the processes, methodologies, and approaches involved in the mathematical theory of probability and statistics. The publication first elaborates on fundamentals, general label space, and basic properties of distributions. Discussions focus on Gaussian distribution, Poisson distribution, mean value variance and other moments, non-countable label space, basic assumptions, operations, and distribution function. The text then ponders on examples of combined operations and summation of chance variables characteristic function. The book takes a look at the asymptotic distribution of the sum of chance variables and probability inference. Topics include inference from a finite number of observations, law of large numbers, asymptotic distributions, limit distribution of the sum of independent discrete random variables, probability of the sum of rare events, and probability density. The text also focuses on the introduction to the theory of statistical functions and multivariate statistics. The publication is a dependable source of information for researchers interested in the mathematical theory of probability and statistics

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Yes, you can access Mathematical Theory of Probability and Statistics by Richard von Mises, Hilda Geiringer in PDF and/or ePUB format, as well as other popular books in Mathematik & Angewandte Mathematik. We have over one million books available in our catalogue for you to explore.

Information

Year
2014
ISBN
9781483264028

Table of contents

  1. Front Cover
  2. Mathematical Theory of Probability and Statistics
  3. Copyright Page
  4. Table of Contents
  5. PREFACE
  6. Selected Reference Books
  7. CHAPTER I. FUNDAMENTALS
  8. CHAPTER II. GENERAL LABEL SPACE
  9. CHAPTER III. BASIC PROPERTIES OF DISTRIBUTIONS
  10. CHAPTER IV. EXAMPLES OF COMBINED OPERATIONS
  11. CHAPTER V. SUMMATION OF CHANCE VARIABLES CHARACTERISTIC FUNCTION
  12. CHAPTER VI. ASYMPTOTIC DISTRIBUTION OF THE SUM OF CHANCE VARIABLES
  13. CHAPTER VII. PROBABILITY INFERENCE. BAYES' METHOD
  14. CHAPTER VIII. MORE ON DISTRIBUTIONS
  15. CHAPTER IX. ANALYSIS OF STATISTICAL DATA
  16. CHAPTER X. PROBLEM OF INFERENCE
  17. CHAPTER XI. MULTIVARIATE STATISTICS. CORRELATION
  18. CHAPTER XII. INTRODUCTION TO THE THEORY OF STATISTICAL FUNCTIONS
  19. Selected Reference Books
  20. TABLES I
  21. INDEX