ISBN: 9781447153610
This second edition of the popular textbook contains a comprehensive course in modern probability theory, covering a wide variety of topics which are not usually found in introductory tex… Mehr…
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2013, ISBN: 9781447153610
A Comprehensive Course, eBooks, eBook Download (PDF), 2., nd ed. 2014, This second edition of the popular textbook contains a comprehensive course in modern probability theory, covering a… Mehr…
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ISBN: 9781447153610
This second edition of the popular textbook contains a comprehensive course in modern probability theory, covering a wide variety of topics which are not usually found in introductory tex… Mehr…
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2013, ISBN: 9781447153610
This second edition of the popular textbook contains a comprehensive course in modern probability theory, covering a wide variety of topics which are not usually found in introductory tex… Mehr…
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2013, ISBN: 9781447153610
A Comprehensive Course, eBooks, eBook Download (PDF), 2., nd ed. 2014, [PU: Springer London], Springer London, 2013
lehmanns.de Versandkosten:Download sofort lieferbar. (EUR 0.00) Details... |
ISBN: 9781447153610
This second edition of the popular textbook contains a comprehensive course in modern probability theory, covering a wide variety of topics which are not usually found in introductory tex… Mehr…
2013, ISBN: 9781447153610
A Comprehensive Course, eBooks, eBook Download (PDF), 2., nd ed. 2014, This second edition of the popular textbook contains a comprehensive course in modern probability theory, covering a… Mehr…
ISBN: 9781447153610
This second edition of the popular textbook contains a comprehensive course in modern probability theory, covering a wide variety of topics which are not usually found in introductory tex… Mehr…
2013, ISBN: 9781447153610
This second edition of the popular textbook contains a comprehensive course in modern probability theory, covering a wide variety of topics which are not usually found in introductory tex… Mehr…
2013, ISBN: 9781447153610
A Comprehensive Course, eBooks, eBook Download (PDF), 2., nd ed. 2014, [PU: Springer London], Springer London, 2013
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Detailangaben zum Buch - Probability Theory
EAN (ISBN-13): 9781447153610
ISBN (ISBN-10): 1447153618
Erscheinungsjahr: 2013
Herausgeber: Springer London
638 Seiten
Sprache: eng/Englisch
Buch in der Datenbank seit 2012-02-28T20:24:23+01:00 (Berlin)
Detailseite zuletzt geändert am 2024-01-05T11:47:25+01:00 (Berlin)
ISBN/EAN: 1447153618
ISBN - alternative Schreibweisen:
1-4471-5361-8, 978-1-4471-5361-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: achim klenke, klenk
Titel des Buches: theory probability
Daten vom Verlag:
Autor/in: Achim Klenke
Titel: Universitext; Probability Theory - A Comprehensive Course
Verlag: Springer; Springer London
638 Seiten
Erscheinungsjahr: 2013-08-30
London; GB
Sprache: Englisch
90,94 € (DE)
100,50 CHF (CH)
Available
XII, 638 p. 46 illus., 20 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Brownian Motion; Integration Theory; Limit Theorems; Markov Chains; Martingales; Measure Theory; Percolation; Poisson Point Process; Statistical Physics; Stochastic Differential Equations; Stochastic Integral; Stochastic Processes; B; Probability Theory; Measure and Integration; Dynamical Systems; Functional Analysis; Complex Systems; Theoretical, Mathematical and Computational Physics; Mathematics and Statistics; Stochastik; Integralrechnung und -gleichungen; Kybernetik und Systemtheorie; Funktionalanalysis und Abwandlungen; Mathematische Physik; BC
Basic Measure Theory.- Independence.- Generating Functions.- The Integral.- Moments and Laws of Large Numbers.- Convergence Theorems.- Lp-Spaces and the Radon–Nikodym Theorem.- Conditional Expectations.- Martingales.- Optional Sampling Theorems.- Martingale Convergence Theorems and Their Applications.- Backwards Martingales and Exchangeability.- Convergence of Measures.- Probability Measures on Product Spaces.- Characteristic Functions and the Central Limit Theorem.- Infinitely Divisible Distributions.- Markov Chains.- Convergence of Markov Chains.- Markov Chains and Electrical Networks.- Ergodic Theory.- Brownian Motion.- Law of the Iterated Logarithm.- Large Deviations.- The Poisson Point Process.- The Itˆo Integral.- Stochastic Differential Equations.Presents an updated, comprehensive and modern introduction to the most important fields of probability theory Contains many new figures and examples Studies a wide variety of topics on probability theory, many of which are not found in introductory textbooks Includes supplementary material: sn.pub/extras
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