Advanced Probability Theory, Second Edition,
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A01=Janos Galambos
Additive Set Function
advanced probability textbook
Asymptotic Normality
Author_Janos Galambos
Borel Cantelli Lemma
Borel Sets
Bounded Random Variables
Category=PBT
Category=PBW
Characteristic Function
Classical Central Limit Theorem
Conditional Expectation
Continuity Theorem
Discrete Time Markov Chain
Distribution Function
Dominated Convergence Theorem
engineering risk modeling
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Finite Expectation
Independent Random Variables
Laplace Transform
Lebesgue Stieltjes Integrals
Lim Inf
Limiting Distribution Function
martingale methods
medical test reliability
probability measure theory
Proper Distribution Function
Random Variable
Simple Random Variables
statistical inference techniques
stochastic process analysis
Total Probability Rule
Underlying Probability Space
Univariate Marginals
Weak Convergence
Product details
- ISBN 9780824793326
- Weight: 1050g
- Dimensions: 152 x 229mm
- Publication Date: 08 Aug 1995
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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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.
Galambos\, Janos
