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040			_aMIA _cMIA _dCOD _dNLC
049			_aP5AA
055	0	1	_aQA273
082	1		_a519.2 _bR815f
090			_ama2
100	0		_aRosenthal, Jeffrey Seth _914762
245	1	2	_aA first look at rigorous probability theory/ _cJeffrey S. Rosenthal.
260			_aSingapore: _aRiver Edge, NJ: _bWorld Scientific, _cc2000.
300			_axiv, 177 p.; _c22 cm.
504			_aIncludes bibliographical references (p. 168-170) and index.
505	0		_a1. The need for measure theory -- 2. Probability triples -- 3. Further probabilistic foundations -- 4. Expected values -- 5. Inequalities and laws of large numbers -- 6. Distributions of random variables -- 7. Stochastic processes and gambling games -- 8. Discrete Markov chains -- 9. Some further probability results -- 10. Weak convergence -- 11. Characteristic functions -- 12. Decomposition of probability laws -- 13. Conditional probability and expectation -- 14. Martingales -- 15. Introduction to other stochastic processes -- Appendix. Mathematical Background .
650		0	_aProbabilités. _943920
650		0	_aMeasure theory. _943572
650	0	4	_aProbability measures
697			_aMatemática Aplicada 02- _xProbabilidade e Estatística. _923729
942			_2impa _cBK
999			_c28352 _d28352