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020   $a9810243030
035   $ab10772388-39ule_inst
035   $aLE01303966$9ExL
040   $aDip.to Matematica$beng
082 0 $a519.2
084   $aAMS 60-01
084   $aLC QA273.R72
100 1 $aRosenthal, Jeffrey Seth$0281907
245 12$aA first look at rigorous probability theory /$cJeffrey S. Rosenthal
260   $aSingapore :$bWorld Scientific,$cc2000
300   $axiv, 177 p. :$bill. ;$c22 cm
500   $aIncludes bibliographical references (p. 168-170) and index
505 0 $a1. The need for measure theory ; 2. Probability triples ; 3. Further probabilistic foundations ; 4. Expected values ; 5. Inequalities and laws of large numbers ; 6. Distributions of random variables ; 7. Stochastic processes and gambling games ; 8. Discrete Markov chains ; 9. Some further probability results ; 10. Weak convergence ; 11. Characteristic functions ; 12. Decomposition of probability laws ; 13. Conditional probability and expectation ; 14. Martingales ; 15. Introduction to other stochastic processes ; Appendix. Mathematical Background
650  0$aMeasure theory
650  0$aProbabilities
650  0$aProbability measures
907   $a.b10772388$b19-10-06$c28-06-02
912   $a991000895109707536
945   $aLE013 60-XX ROS31 C. 1 (2000)$g1$i2013000125916$lle013$o-$pE0.00$q-$rl$s-  $t0$u1$v0$w1$x0$y.i1087088x$z28-06-02
945   $aLE013 60-XX ROS31 C. 2 (2000) $cC. 2$g2$i2013000203478$lle013$op$pE42.39$q-$rl$s-  $t0$u1$v0$w1$x0$y.i14303929$z19-10-06
996   $aFirst look at rigorous probability theory$9747959
997   $aUNISALENTO
998   $ale013$b01-01-01$cm$da  $e-$feng$gsi $h2$i1