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Random Variables and Probability Distributions

Autor H. Cramer, Harald Cramer Editat de Bela Bollobás
en Limba Engleză Paperback – 17 apr 2004
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.
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Specificații

ISBN-13: 9780521604864
ISBN-10: 0521604869
Pagini: 132
Dimensiuni: 140 x 216 x 7 mm
Greutate: 0.18 kg
Ediția:Revised
Editura: Cambridge University Press
Locul publicării:Cambridge, United Kingdom

Cuprins

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.

Descriere

This tract develops the purely mathematical side of the theory of probability.