Random variables and probability distributions

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Bibliographic Information

Random variables and probability distributions

by Harald Cramér

（Cambridge tracts in mathematics, no. 36）

Cambridge University Press, 1970

3rd ed

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Note

Bibliography: p. [115]-118

Description and Table of Contents

Description

This tract develops the purely mathematical side of the theory of probability, without reference to any applications. When originally published, it was one of the earliest works in the field built on the axiomatic foundations introduced by A. Kolmogoroff in his book Grundbegriffe der Wahrscheinlichkeitsrechnung, thus treating the subject as a branch of the theory of completely additive set functions. The author restricts himself to a consideration of probability distributions in spaces of a finite number of dimensions, and to problems connected with the Central Limit Theorem and some of its generalizations and modifications. In this edition the chapter on Liapounoff's theorem has been partly rewritten, and now includes a proof of the important inequality due to Berry and Esseen. The terminology has been modernized, and several minor changes have been made.

Table of Contents

  • Preface to the first edition
  • Preface to the second edition
  • Preface to the third edition
  • Abbreviations
  • Part I. Principles: 1. Introductory remarks
  • 2. Axioms and preliminary theorems
  • Part II. Distributions in R1: 3. General properties
  • 4. Characteristic functions
  • 5. Addition of independent variables
  • 6. The normal distribution and the central limit theorem
  • 7. Error estimation
  • 8. A class of stochastic processes
  • Part III. Distributions in R2: 9. General properties
  • 10. The normal distribution and the central limit theorem
  • Bibliography.

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