
Advanced Probability Theory, Second Edition,
Janos Galambos(Author)
CRC Press
2nd Edition
Published on 8. August 1995
Book
Hardback
480 pages
978-0-8247-9332-6 (ISBN)
Description
This work thoroughly covers the concepts and main results of probability theory, from its fundamental principles to advanced applications. This edition provides examples early in the text of practical problems such as the safety of a piece of engineering equipment or the inevitability of wrong conclusions in seemingly accurate medical tests for AIDS and cancer.;College or university bookstores may order five or more copies at a special student price which is available upon request from Marcel Dekker, Inc.
More details
Series
Edition
2nd edition
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Professional Practice & Development
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 30 mm
Weight
840 gr
ISBN-13
978-0-8247-9332-6 (9780824793326)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Janos Galambos
Advanced Probability Theory, Second Edition,
E-Book
07/2023
2nd Edition
CRC Press
€89.99
Available for download

Janos Galambos
Advanced Probability Theory, Second Edition,
E-Book
07/2023
2nd Edition
CRC Press
€89.99
Available for download

Janos Galambos
Advanced Probability Theory, Second Edition,
Book
09/2019
2nd Edition
CRC Press
€97.30
Shipment within 15-20 days
Person
Galambos\, Janos
Content
Review of basic concepts; expectation and integral, weak and strong convergence; transforms of distribution; infinite sequences of independent random variables; weak convergence; triangular arrays of independent random variables, infinitely divisible distributions; indipendent and identically distributed random variables; conditional exceptions; martingales; topics in the theory of stochastic processes; hints for solutions of exercises.