000			01729nam a2200241 4500
008			160616s1991 000 0
020			_a9788126517718 (PB)
041			_aeng
080			_a519.2 _bBIL
100			_aBillingsley, Patrick.
245			_aProbability and Measure
250			_a3rd
260			_bJohn Wiley _aNew Delhi _c1995
300			_axii, 593p.
440			_aWiley Series in Probability and Mathematical Statistics
505			_a1. Probability 2. Measure 3. Integration 4. Random variables and expected values 5. Convergence of distributions 6. Derivatives and conditional probability 7. Stochastic processes
520			_aNow in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.· Probability· Measure· Integration· Random Variables and Expected Values· Convergence of Distributions· Derivatives and Conditional Probability· Stochastic Processes
650			_aProbability
650			_aMeasure
650			_aStochastic process
690			_aMathematics
942			_cBK
999			_c60613 _d60613