MARC

LEADER 00000cam a2200000 i 4500
001 SCIDIR_ocn679395209
003 OCoLC
005 20231117044453.0
006 m o d
007 cr bn||||||abp
007 cr bn||||||ada
008 101107s1975 nyu ob 001 0 eng d
040 |a OCLCE  |b eng  |e pn  |c OCLCE  |d OCLCQ  |d OCLCF  |d OCLCO  |d OPELS  |d EBLCP  |d N$T  |d E7B  |d DEBSZ  |d OCLCQ  |d MERUC  |d OCLCQ  |d VLY  |d LUN  |d OCLCQ  |d OCLCO  |d S2H  |d OCLCO  |d COM  |d OCLCO  |d OCLCQ  |d OCLCO 
019 |a 898771665  |a 1162560921 
020 |a 9780124598607  |q (electronic bk.) 
020 |a 0124598609  |q (electronic bk.) 
020 |a 9781483218588 
020 |a 1483218589 
035 |a (OCoLC)679395209  |z (OCoLC)898771665  |z (OCoLC)1162560921 
042 |a dlr 
050 4 |a QA273 
082 0 4 |a 519.2  |2 18 
084 |a QH 170  |2 rvk 
084 |a SK 820  |2 rvk 
100 1 |a Lukacs, Eugene. 
245 1 0 |a Stochastic convergence /  |c Eugene Lukacs. 
250 |a 2d ed. 
260 |a New York :  |b Academic Press,  |c 1975. 
300 |a 1 online resource (xi, 200 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Probability and mathematical statistics ;  |v v. 30 
504 |a Includes bibliographical references (pages 191-194) and index. 
506 |3 Use copy  |f Restrictions unspecified  |2 star  |5 MiAaHDL 
533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
538 |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.  |u http://purl.oclc.org/DLF/benchrepro0212  |5 MiAaHDL 
583 1 |a digitized  |c 2010  |h HathiTrust Digital Library  |l committed to preserve  |2 pda  |5 MiAaHDL 
588 0 |a Print version record. 
505 0 |a Front Cover; Stochastic Convergence; Copyright Page; Table of Contents; Preface to the Second Edition; Preface to the First Edition; List of Examples; Chapter 1. INTRODUCTION; 1.1. Survey of basic concepts; 1.2. Certain inequalities; 1.3. Characteristic functions; 1.4. Independence; 1.5. Monotone classes of sets (events); Exercises; Chapter 2. STOCHASTIC CONVERGENCE CONCEPTS AND THEIR PROPERTIES; 2.1. Definitions; 2.2. Relations among the various convergence concepts; 2.3. Convergence of sequences of mean values and of certain functions of random variables 
505 8 |a 2.4. Criteria for stochastic convergence2.5. Further modes of stochastic convergence; 2.6. Information convergence; Exercises; Chapter 3. SPACES OF RANDOM VARIABLES; 3.1. Convergence in probability; 3.2. Almost certain convergence; 3.3. The spaces Lp; 3.4. The space of distribution functions; Exercises; Chapter 4. INFINITE SERIES OF RANDOM VARIABLES AND RELATED TOPICS; 4.1. The lemmas of Borel-Cantelli and the zero-one laws; 4.2. Convergence of series; 4.3. Some limit theorems; Exercises; Chapter 5. RANDOM POWER SERIES; 5.1. Definition and convergence of random power series 
505 8 |a 5.2. The radius of convergence of a random power series5.3. Random power series with identically distributed coefficients; 5.4. Random power series with independent coefficients; 5.5. The analytic continuation of random power series; 5.6. Random entire functions; Exercises; Chapter 6. STOCHASTIC INTEGRALS AND DERIVATIVES; 6.1. Some definitions concerning stochastic processes; 6.2. Definition and existence of stochastic integrals; 6.3. L2-continuity and differentiation of stochastic processes; Exercises 
505 8 |a Chapter 7. CHARACTERIZATION OF THE NORMAL DISTRIBUTION BY PROPERTIES OF INFINITE SUMS OF RANDOM VARIABLES7.1. Identically distributed linear forms; 7.2. A linear form and a monomial having the same distribution; 7.3. Independently distributed infinite sums; Exercises; Chapter 8. CHARACTERIZATION OF SOME STOCHASTIC PROCESSES; 8.1. Independence and a regression property of two stochastic integrals; 8.2. Identically distributed stochastic integrals; 8.3. Identity of the distribution of a stochastic integral and the increment of a process; 8.4. Characterization of stable processes; Exercises 
546 |a English. 
650 0 |a Stochastic processes. 
650 0 |a Sequences (Mathematics) 
650 0 |a Convergence. 
650 2 |a Stochastic Processes  |0 (DNLM)D013269 
650 6 |a Processus stochastiques.  |0 (CaQQLa)201-0002663 
650 6 |a Suites (Math�ematiques)  |0 (CaQQLa)201-0061998 
650 6 |a Convergence (Math�ematiques)  |0 (CaQQLa)201-0015663 
650 7 |a Convergence  |2 fast  |0 (OCoLC)fst00877195 
650 7 |a Sequences (Mathematics)  |2 fast  |0 (OCoLC)fst01112884 
650 7 |a Stochastic processes  |2 fast  |0 (OCoLC)fst01133519 
650 7 |a Konvergenz  |2 gnd  |0 (DE-588)4032326-2 
650 7 |a Stochastik  |2 gnd  |0 (DE-588)4121729-9 
650 7 |a Stochastische Konvergenz  |2 gnd  |0 (DE-588)4183376-4 
650 7 |a Stochastischer Prozess  |2 gnd  |0 (DE-588)4057630-9 
650 7 |a Wahrscheinlichkeitsrechnung  |2 gnd  |0 (DE-588)4064324-4 
650 7 |a Zuf�allige Folge  |2 gnd  |0 (DE-588)4191092-8 
776 0 8 |i Print version:  |a Lukacs, Eugene.  |t Stochastic convergence.  |b 2d ed.  |d New York : Academic Press, 1975  |w (DLC) 75003586  |w (OCoLC)1504668 
830 0 |a Probability and mathematical statistics ;  |v v. 30. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780124598607  |z Texto completo