Elementary Probability Theory

by Kai Lai Chung

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In the past half-century the theory of probability has grown from a minor isolated theme into a broad and intensive discipline interacting with many other branches of mathematics. At the same time it is playing a centrat role in the mathematization of various applied sciences such as statistics, Opera­ tions research, biology, economics and psychology-to name a few to which the prefix "mathematical" has so far been firmly attached. The coming-of-age of probability has been reflected in the show more change of contents of textbooks on the subject. In the old days most of these books showed a visible split­ personality torn between the combinatorial games of chance and the so-called "theory of errors" centering in the normal distribution. This period ended with the appearance of Feller's dassie treatise (see [Feiler I]t) in 1950, from the manuscript of which I gave my first substantial course in probability. With the passage of time probability theory and its applications have won a place in the college curriculum as a mathematical discipline essential to many fields of study. The elements of the theory are now given at different Ievels, sometimes even before calculus. The present textbook is intended for a course at about the sophomore Ievel. It presupposes no prior acquaintance with the subject and the first three chapters can be read largely without the benefit of calculus. show less

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2 reviews
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.
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 show more 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.
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Original publication date
1974

Classifications

Genres
Nonfiction, Science & Nature, General Nonfiction, Business
DDC/MDS
519.2Natural sciences & mathematicsMathematicsProbabilities and applied mathematicsProbabilities
LCC
QA273 .C5774ScienceMathematicsMathematicsProbabilities. Mathematical statistics
BISAC

Statistics

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68
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Reviews
2
Rating
(4.07)
Languages
English, German
Media
Paper, Ebook
ISBNs
19