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Kai Lai Chung (1917–2009)

Auteur de A Course in Probability Theory

16 oeuvres 224 utilisateurs 2 critiques

A propos de l'auteur

Comprend les noms: Kai L. Chung, К.Л. Чжун

Crédit image: Kai Lai Chung. Photo by Konrad Jacobs.

Œuvres de Kai Lai Chung

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Autres noms
Chung, K. L.
Date de naissance
1917-09-19
Date de décès
2009-06-01
Sexe
male
Nationalité
China (Republic of)
USA
Lieu de naissance
Hangzhou, Zhejiang Province, China
Lieu du décès
Philippines
Études
Tsinghua University
Princeton University (PhD|1945)
Professions
mathematician
professor
Relations
Tukey, John Wilder (PhD advisor)
Cramér, Harald (PhD advisor)
Derman, Cyrus (doctoral student)
Steele, J. Michael (doctoral student)
Williams, Ruth Jeannette (doctoral student)
Organisations
Tsinghua University
University of Chicago
Columbia University
University of California, Berkeley
Cornell University
Syracuse University (tout afficher 8)
Stanford University
National University of Singapore
Courte biographie
Kai Lai Chung (traditional Chinese: 鍾開萊; simplified Chinese: 钟开莱; September 19, 1917 – June 2, 2009) was a Chinese American mathematician known for his significant contributions to modern probability theory. [from Wikipedia: https://en.wikipedia.org/wiki/Chung_Ka...]

Membres

Critiques

Indeholder "Preface to the Third Edition", "Preface to the Second Edition", "Preface to the First Edition", "Chapter 1: Set", "1.1 Sample sets", "1.2 Operations with sets", "1.3 Various relations", "1.4 Indicator", "Exercises", "Chapter 2: Probability", "2.1 Example of probability", "2.2 Definition and illustrations", "2.3 Deductions from the axioms", "2.4 Independent events", "2.5 Arithmetical density", "Exercises", "Chapter 3: Counting", "3.1 Fundamental rule", "3.2 Diverse ways of sampling", "3.3 Allocation models; binomial coefficients", "3.4 How to solve it", "Exercises", "Chapter 4: Random Variables", "4.1 What is a random variable?", "4.2 How do random variables come about?", "4.3 Distribution and expectation", "4.4 Integer-valued random variables", "4.5 Random variables with densities", "4.6 General case", "Exercises", "Appendix 1: Borel Fields and General Random Variables", "Chapter 5: Conditioning and Independence", "5.1 Examples of conditioning", "5.2 Basic formulas", "5.3 Sequential Sampling", "5.4 Pólya's urn scheme", "5.5 Independence and relevance", "5.6 Genetic models", "Exercises", "Chapter 6: Mean, Variance and Transforms", "6.1 Basic properties of expectation", "6.2 The density case", "6.3 Multiplication theorem; variance and covariance", "6.4 Multinomial distribution", "6.5 Generating function and the like", "Exercises", "Chapter 7: Poisson and Normal Distributions", "7.1 Models for Poisson Distribution", "7.2 Poisson proces", "7.3 From binomial to normal", "7.4 Normal distribution", "7.5 Central limit theorem", "7.6 Law of large numbers", "Exercises", "Appendix 2: Stirling's Formula and DeMoivre-Laplace's Theorem", "Chapter 8: From Random Walks to Markov Chains", "8.1 Problems of the wanderer or gambler", "8.2 Limiting schemes", "8.3 Transition probabilities", "8.4 Basic structure of Markov chains", "8.5 Further developments", "8.6 Steady state", "8.7 Winding up (or down?)", "Exercises", "Appendix 3: Martingale", "General References", "Answers to Problems", "Index".

Udmærket introduktion, men måske lidt rigeligt snakkende.
Lærebog i sandsynlighedsregning på statistik 1 i Århus, 1979/1980.
… (plus d'informations)
 
Signalé
bnielsen | 1 autre critique | Sep 23, 2013 |
I usually find books on probability boring and irritating, but I was very happy with this one.
It does a fine job of covering measure theory in a useful fashion, and is an acceptable first pass at covering stochastic processes.
 
Signalé
name99 | 1 autre critique | Nov 22, 2006 |

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Statistiques

Œuvres
16
Membres
224
Popularité
#100,172
Évaluation
3.8
Critiques
2
ISBN
65
Langues
3

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