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

Probability Theory - Paperback

1995, ISBN: 038794558X

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

NEW BOOK. Shipping costs: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 - Paperback

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 … More...

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Probability Theory
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Probability Theory - new book

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 … More...

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Borkar, Vivek S.:
Probability Theory An Advanced Course - Paperback

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… More...

NOT NEW BOOK. Shipping costs: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) - Paperback

1995, ISBN: 9780387945583

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

Shipping costs: EUR 19.78 Ergodebooks

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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.

Details of the book - Probability Theory by Vivek S. Borkar Paperback | Indigo Chapters


EAN (ISBN-13): 9780387945583
ISBN (ISBN-10): 038794558X
Hardcover
Paperback
Publishing year: 1995
Publisher: Vivek S. Borkar
138 Pages
Weight: 0,222 kg
Language: deu

Book in our database since 2007-01-06T03:46:23+00:00 (London)
Detail page last modified on 2024-03-26T20:51:13+00:00 (London)
ISBN/EAN: 038794558X

ISBN - alternate spelling:
0-387-94558-X, 978-0-387-94558-3
Alternate spelling and related search-keywords:
Book author: per leo, breiman, borkar, modern media verlag
Book title: course probability theory, borka


Information from Publisher

Author: Vivek S. Borkar
Title: Universitext; Probability Theory - An Advanced Course
Publisher: Springer; Springer US
138 Pages
Publishing year: 1995-10-05
New York; NY; US
Language: English
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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