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Elementary probability /

Now available in a fully revised and updated new edition, this well established textbook provides a straightforward introduction to the theory of probability. The presentation is entertaining without any sacrifice of rigour; important notions are covered with the clarity that the subject demands. To...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Stirzaker, David
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, UK ; New York : Cambridge University Press, 2003.
Edición:2nd ed.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Elementary probability /  |c David Stirzaker. 
250 |a 2nd ed. 
260 |a Cambridge, UK ;  |a New York :  |b Cambridge University Press,  |c 2003. 
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504 |a Includes bibliographical references (page 514) and index. 
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520 8 |a Now available in a fully revised and updated new edition, this well established textbook provides a straightforward introduction to the theory of probability. The presentation is entertaining without any sacrifice of rigour; important notions are covered with the clarity that the subject demands. Topics covered include conditional probability, independence, discrete and continuous random variables, basic combinatorics, generating functions and limit theorems, and an introduction to Markov chains. The text is accessible to undergraduate students and provides numerous worked examples and exercises to help build the important skills necessary for problem solving. 
505 0 0 |g Machine generated contents note:  |t Introduction --  |g App.  |t Review of Elementary Mathematical Prerequisites --  |g 1.  |t Probability --  |g 2.  |t Conditional Probability and Independence --  |g 3.  |t Counting --  |g 4.  |t Random Variables: Distribution and Expectation --  |g 5.  |t Random Vectors: Independence and Dependence --  |g 6.  |t Generating Functions and Their Applications --  |g 7.  |t Continuous Random Variables --  |g 8.  |t Jointly Continuous Random Variables --  |g 9.  |t Markov Chains --  |g App.  |t Solutions and Hints for Selected Exercises and Problems. 
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