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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-006.mrc:181187642:3002
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-006.mrc:181187642:3002?format=raw

LEADER: 03002mam a2200421 a 4500
001 2653626
005 20221012213927.0
008 950504t19961996nyua b 001 0 eng
010 $a 95019033
020 $a0387945490
035 $a(OCoLC)ocm32546222
035 $9ARA0356CU
035 $a(NNC)2653626
035 $a2653626
040 $aDLC$cDLC$dOrLoB-B
041 1 $aeng$hrus
050 00 $aQA273$b.S54413 1996
082 00 $a519.5$220
100 1 $aShiri͡aev, Alʹbert Nikolaevich.
240 10 $aVeroi͡atnostʹ.$lEnglish
245 10 $aProbability /$cA.N. Shiryaev ; translated by R.P. Boas.
250 $a2nd ed.
260 $aNew York :$bSpringer,$c[1996], ©1996.
300 $axvi, 621 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aGraduate texts in mathematics ;$v95
490 1 $aSpringer series in Soviet mathematics
504 $aIncludes bibliographical references (p. [597]-607) and indexes.
505 00 $gCh. I.$tElementary Probability Theory --$gCh. II.$tMathematical Foundations of Probability Theory --$gCh. III.$tConvergence of Probability Measures. Central Limit Theorem --$gCh. IV.$tSequences and Sums of Independent Random Variables --$gCh. V.$tStationary (Strict Sense) Random Sequences and Ergodic Theory --$gCh. VI.$tStationary (Wide Sense) Random Sequences. L[superscript 2] Theory --$gCh. VII.$tSequences of Random Variables that Form Martingales --$gCh. VIII.$tSequences of Random Variables that Form Markov Chains.
520 1 $a"This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks, martingales, Markov chains, ergodic theory, weak convergence of probability measures, stationary stochastic processes, and the Kalman-Bucy filter. Many examples are discussed in detail, and there are a large number of exercises. The book is accessible to advanced undergraduates and can be used as a text for self-study.".
520 8 $a"This new edition contains substantial revisions and updated references. The reader will find a deeper study of topics such as the distance between probability measures, metrization of weak convergence, and contiguity of probability measures. Proofs for a number of some important results which were merely stated in the first edition have been added.
520 8 $aThe author has included new material on the probability of large deviations, on the central limit theorem for sums of dependent random variables, and on a discrete version of Ito's formula."--BOOK JACKET.
650 0 $aProbabilities.$0http://id.loc.gov/authorities/subjects/sh85107090
830 0 $aGraduate texts in mathematics ;$v95.$0http://id.loc.gov/authorities/names/n83723435
830 0 $aSpringer series in Soviet mathematics.$0http://id.loc.gov/authorities/names/n83704176
852 00 $bsci$hQA273$i.S54413 1996
852 00 $bsci$hQA273$i.S54413 1996