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A first look at rigorous probability...

Rosenthal, Jeffrey S.

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A first look at rigorous probability theory /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A first look at rigorous probability theory // Jeffrey S. Rosenthal.
作者:	Rosenthal, Jeffrey S.
出版者:	Singapore ;World Scientific, : c2000.,
面頁冊數:	xiv, 177 p. :ill. ;23 cm.
內容註:	1. 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.
標題:	Measure theory. -
ISBN:	9810243030 (hbk.) :

A first look at rigorous probability theory /
Rosenthal, Jeffrey S.

A first look at rigorous probability theory /Jeffrey S. Rosenthal. - Singapore ;World Scientific,c2000. - xiv, 177 p. :ill. ;23 cm.

Includes bibliographical references (p. 168-170) and index.

1. 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.

ISBN: 9810243030 (hbk.) :US42.00

Nat. Bib. No.: C000162477Subjects--Topical Terms:

516951
Measure theory.

LC Class. No.: QA273 / .R815 2000

Dewey Class. No.: 519.2

A first look at rigorous probability theory /
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245 1 2 $a A first look at rigorous probability theory / $c Jeffrey S. Rosenthal.
260 $a Singapore ; $a River Edge, NJ. : $c c2000. $b World Scientific,
300 $a xiv, 177 p. : $b ill. ; $c 23 cm.
504 $a Includes bibliographical references (p. 168-170) and index.
505 0 $a 1. 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. $a 1. 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 $a Measure theory. $3 516951
650 $a Probabilities. $3 518889
650 $a Probability measures. $3 686648