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Probability Theory - Vivek S. Borkar
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Vivek S. Borkar:

Probability Theory - Livro de bolso

1995, ISBN: 038794558X

[EAN: 9780387945583], Neubuch, [PU: Springer New York Okt 1995], WAHRSCHEINLICHKEIT - WAHRSCHEINLICHKEITSTHEORIE; MARKOVCHAIN; MARKOVPROPERTY; MARTINGALE; OPERATIONSRESEARCH; PROBABILITYT… mais…

NEW BOOK. Custos de envio:Versandkostenfrei. (EUR 0.00) BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany [57449362] [Rating: 4 (von 5)]
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Probability Theory - Vivek S. Borkar
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Vivek S. Borkar:

Probability Theory - Livro de bolso

2005, ISBN: 9780387945583

[ED: Taschenbuch], [PU: Springer New York], Neuware - This book presents a selection of topics from probability theory. Essentially, the topics chosen are those that are likely to be the … mais…

Custos de envio:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) AHA-BUCH GmbH
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Probability Theory
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Probability Theory - novo libro

ISBN: 9780387945583

This book presents a selection of topics from probability theory. Essentially, the topics chosen are those that are likely to be the most useful to someone planning to pursue research in … mais…

Nr. 978-0-387-94558-3. Custos de envio:Worldwide free shipping, , DE. (EUR 0.00)
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Borkar, Vivek S.:
Probability Theory An Advanced Course - Livro de bolso

1995, ISBN: 038794558X

[EAN: 9780387945583], Gebraucht, guter Zustand, [SC: 0.0], [PU: Springer US], MARKOV PROPERTY,RANDOM VARIABLE,MARKOV CHAIN,PROBABILITY THEORY,STOCHASTIC PROCESSES,UNIFORM INTEGRABILITY,OP… mais…

NOT NEW BOOK. Custos de envio:Versandkostenfrei. (EUR 0.00) Buchpark, Trebbin, Germany [83435977] [Rating: 5 (von 5)]
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Vivek S. Borkar:
Probability Theory: An Advanced Course (Universitext) - Livro de bolso

1995, ISBN: 9780387945583

Springer, 1995-10-05. Paperback. Good., Springer, 1995-10-05, 2.5

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Probability Theory by Vivek S. Borkar Paperback | Indigo Chapters

This book is an advanced text on probability theory. By presupposing the background of a standard first course in real analysis and a 'soft' course in probability theory, it gives a compact treatment of several key topics in probability, selected on the basis of their importance in forming the foundations of the modern theory of stochastic processes. It is ideal for graduate students and researchers in probability theory and stochastic processes and their applications. It is also well suited for scientists in allied fields such as mathematical statistics/ economics/physics, electrical engineering, operations research who wish to augment their background in probability theory.

Dados detalhados do livro - Probability Theory by Vivek S. Borkar Paperback | Indigo Chapters


EAN (ISBN-13): 9780387945583
ISBN (ISBN-10): 038794558X
Livro de capa dura
Livro de bolso
Ano de publicação: 1995
Editor/Editora: Vivek S. Borkar
138 Páginas
Peso: 0,222 kg
Língua: deu

Livro na base de dados desde 2007-01-06T03:46:23+00:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-03-26T20:51:13+00:00 (Lisbon)
Número ISBN/EAN: 038794558X

Número ISBN - Ortografia alternativa:
0-387-94558-X, 978-0-387-94558-3
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: per leo, breiman, borkar, modern media verlag
Título do livro: course probability theory, borka


Dados da editora

Autor: Vivek S. Borkar
Título: Universitext; Probability Theory - An Advanced Course
Editora: Springer; Springer US
138 Páginas
Ano de publicação: 1995-10-05
New York; NY; US
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XIV, 138 p.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Markov chain; Markov property; Martingale; Operations Research; Probability theory; Random variable; Stochastic processes; Uniform integrability; stochastic process; Probability Theory; Mathematical Modeling and Industrial Mathematics; Stochastik; Mathematische Modellierung; Mathematik für Ingenieure; EA

1 Introduction.- 1.1 Random Variables.- 1.2 Monotone Class Theorems.- 1.3 Expectations and Uniform Integrability.- 1.4 Independence.- 1.5 Convergence Concepts.- 1.6 Additional Exercises.- 2 Spaces of Probability Measures.- 2.1 The Prohorov Topology.- 2.2 Skorohod’s Theorem.- 2.3 Compactness in P(S).- 2.4 Complete Metrics on P(S).- 2.5 Characteristic Functions.- 2.6 Additional Exercises.- 3 Conditioning and Martingales.- 3.1 Conditional Expectations.- 3.2 Martingales.- 3.3 Convergence Theorems.- 3.4 Martingale Inequalities.- 3.5 Additional Exercises.- 4 Basic Limit Theorems.- 4.1 Introduction.- 4.2 Strong Law of Large Numbers.- 4.3 Central Limit Theorem.- 4.4 The Law of Iterated Logarithms.- 4.5 Large Deviations.- 4.6 Tests for Convergence.- 4.7 Additional Exercises.- 5 Markov Chains.- 5.1 Construction and the Strong Markov Property.- 5.2 Classification of States.- 5.3 Stationary Distributions.- 5.4 Transient and Null Recurrent Chains.- 5.5 Additional Exercises.- 6 Foundations of Continuous-Time Processes.- 6.1 Introduction.- 6.2 Separability and Measurability.- 6.3 Continuous Versions.- 6.4 Cadlag Versions.- 6.5 Examples of Stochastic Processes.- 6.6 Additional Exercises.- References.

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