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The laws of large numbers.

The Laws of Large Numbers.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: R�ev�esz, P�al
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, Academic Press, 1968 [�1967]
Colección:Probability and mathematical statistics ; 4.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a R�ev�esz, P�al. 
245 1 4 |a The laws of large numbers. 
260 |a New York,  |b Academic Press,  |c 1968 [�1967] 
300 |a 1 online resource (176 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 4 
504 |a Includes bibliographical references (pages 169-173). 
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; The Laws of Large Numbers; Copyright Page; Table of Contents; INTRODUCTION; CHAPTER 0. MATHEMATICAL BACKGROUND; 0.1. Measure theory; 0.2. Probability theory; 0.3. Stochastic processes; 0.4. Hubert and Banach spaces; 0.5. Ergodic theory; 0.6. Orthogonal series; CHAPTER 1. DEFINITIONS AND GENERALITIES; 1.1. The different kinds of the laws of large numbers; 1.2. General theorems; CHAPTER 2. INDEPENDENT RANDOM VARIABLES; 2.1. Inequalities; 2.2. The three series theorem; 2.3. What are the possible limits?; 2.4. Convergence in mean; 2.5. Weak laws 
505 8 |a 4.3. The estimation of the covariance functionCHAPTER 5. SUBSEQUENCES OF SEQUENCES OF RANDOM VARIABLES; 5.1. A conjecture of H. Steinhaus; 5.2. Subsequences of stationary sequences; 5.3. Subsequences of special orthogonal sequences; CHAPTER 6. SYMMETRICALLY DEPENDENT RANDOM VARIABLES AND THEIR GENERALIZATIONS; 6.1. Symmetrically dependent random variables; 6.2. Quasi-independent events; 6.3. Quasi-multiplicative systems; CHAPTER 7. MARKOV CHAINS; 7.1. Homogeneous Markov chains; 7.2. Non-homogeneous Markov chains; 7.3. The law of the iterated logarithm 
505 8 |a CHAPTER 8. WEAKLY DEPENDENT RANDOM VARIABLES 8.1. A general theorem on centered random variables; 8.2. Mixing; CHAPTER 9. INDEPENDENT RANDOM VARIABLES TAKING VALUES IN AN ABSTRACT SPACE; 9.1. Independent random variables taking values in a Hilbert space; 9.2. Independent random variables taking values ina Banach space; CHAPTER 10. SUM OF A RANDOM NUMBER OF INDEPENDENTRANDOM VARIABLES; CHAPTER 11. APPLICATIONS; 11.1. Applications in number theory; 11.2. Applications in statistics; 11.3. Applications in information theory; REFERENCES; AUTHOR INDEX 
520 |a The Laws of Large Numbers. 
650 0 |a Law of large numbers. 
650 0 |a Mathematical statistics. 
650 0 |a Probabilities. 
650 2 |a Probability  |0 (DNLM)D011336 
650 6 |a Statistique math�ematique.  |0 (CaQQLa)201-0002592 
650 6 |a Probabilit�es.  |0 (CaQQLa)201-0011592 
650 6 |a Loi des grands nombres.  |0 (CaQQLa)201-0042980 
650 7 |a probability.  |2 aat  |0 (CStmoGRI)aat300055653 
650 7 |a Probabilities.  |2 fast  |0 (OCoLC)fst01077737 
650 7 |a Mathematical statistics.  |2 fast  |0 (OCoLC)fst01012127 
650 7 |a Law of large numbers.  |2 fast  |0 (OCoLC)fst00994048 
650 7 |a Wahrscheinlichkeitstheorie  |2 gnd  |0 (DE-588)4079013-7 
650 7 |a Probabilidade (Estatistica)  |2 larpcal 
776 0 8 |i Print version:  |a R�ev�esz, P�al.  |t Laws of large numbers.  |d New York, Academic Press, 1968 [�1967]  |w (DLC) 68026629  |w (OCoLC)448249 
830 0 |a Probability and mathematical statistics ;  |v 4. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9781483230559  |z Texto completo