9783319479729 - a basic course in probability theory (universitext) de bhattacharya, rabi; waymire, edward c. (15 resultados)
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Serie: Universitext, Libro 205 de 261. Libro 205 de 261 - Universitext
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Paperback. Condición: Very Good. 2nd ed. 2016. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Condición: New. pp. 280.
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Serie: Universitext, Libro 205 de 261. Libro 205 de 261 - Universitext
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Serie: Universitext, Libro 205 de 261. Libro 205 de 261 - Universitext
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Paperback. Condición: Brand New. 2nd edition. 280 pages. 9.00x6.00x0.75 inches. In Stock.
Idioma: Inglés
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Serie: Universitext, Libro 205 de 261. Libro 205 de 261 - Universitext
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications. In this second edition, the text has been reorganized for didactic purposes, new exercises…have been added and basic theory has been expanded. General Markov dependent sequences and their convergence to equilibrium is the subject of an entirely new chapter. The introduction of conditional expectation and conditional probability very early in the text maintains the pedagogic innovation of the first edition; conditional expectation is illustrated in detail in the context of an expanded treatment of martingales, the Markov property, and the strong Markov property. Weak convergence of probabilities on metric spaces and Brownian motion are two topics to highlight. A selection of large deviation and/or concentration inequalities ranging from those of Chebyshev, Cramer-Chernoff, Bahadur-Rao, to Hoeffding have been added,with illustrative comparisons of their use in practice. This also includes a treatment of the Berry-Esseen error estimate in the central limit theorem.The authors assume mathematical maturity at a graduate level; otherwise the book is suitable for students with varying levels of background in analysis and measure theory. For the reader who needs refreshers, theorems from analysis and measure theory used in the main text are provided in comprehensive appendices, along with their proofs, for ease of reference.Rabi Bhattacharya is Professor of Mathematics at the University of Arizona. Edward Waymire is Professor of Mathematics at Oregon State University. Both authors have co-authored numerous books, including a series of four upcoming graduate textbooks in stochastic processes with applications.
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Taschenbuch. Condición: Neu. A Basic Course in Probability Theory | Rabi Bhattacharya (u. a.) | Taschenbuch | Universitext | xii | Englisch | 2017 | Springer | EAN 9783319479729 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: pre…igu.
Idioma: Inglés
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Serie: Universitext, Libro 205 de 261. Libro 205 de 261 - Universitext
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 280 | Sprache: Englisch | Produktart: Bücher | This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications. In this second edition, the text has been reorganized for didactic purposes,…new exercises have been added and basic theory has been expanded. General Markov dependent sequences and their convergence to equilibrium is the subject of an entirely new chapter. The introduction of conditional expectation and conditional probability very early in the text maintains the pedagogic innovation of the first edition; conditional expectation is illustrated in detail in the context of an expanded treatment of martingales, the Markov property, and the strong Markov property. Weak convergence of probabilities on metric spaces and Brownian motion are two topics to highlight. A selection of large deviation and/or concentration inequalities ranging from those of Chebyshev, Cramer¿Chernoff, Bahadur¿Rao, to Hoeffding have been added,with illustrative comparisons of their use in practice. This also includes a treatment of the Berry¿Esseen error estimate in the central limit theorem.The authors assume mathematical maturity at a graduate level; otherwise the book is suitable for students with varying levels of background in analysis and measure theory. For the reader who needs refreshers, theorems from analysis and measure theory used in the main text are provided in comprehensive appendices, along with their proofs, for ease of reference.Rabi Bhattacharya is Professor of Mathematics at the University of Arizona. Edward Waymire is Professor of Mathematics at Oregon State University. Both authors have co-authored numerous books, including a series of four upcoming graduate textbooks in stochastic processes with applications.
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Editorial: Springer, 2017
Serie: Universitext, Libro 205 de 261. Libro 205 de 261 - Universitext
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Condición: new. Questo è un articolo print on demand.
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Editorial: Springer, 2017
Serie: Universitext, Libro 205 de 261. Libro 205 de 261 - Universitext
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Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
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Editorial: Springer, Springer Feb 2017, 2017
Serie: Universitext, Libro 205 de 261. Libro 205 de 261 - Universitext
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications. In this second edition, the text has been reorganized for didactic purposes…, new exercises have been added and basic theory has been expanded. General Markov dependent sequences and their convergence to equilibrium is the subject of an entirely new chapter. The introduction of conditional expectation and conditional probability very early in the text maintains the pedagogic innovation of the first edition; conditional expectation is illustrated in detail in the context of an expanded treatment of martingales, the Markov property, and the strong Markov property. Weak convergence of probabilities on metric spaces and Brownian motion are two topics to highlight. A selection of large deviation and/or concentration inequalities ranging from those of Chebyshev, Cramer-Chernoff, Bahadur-Rao, to Hoeffding have been added,with illustrative comparisons of their use in practice. This also includes a treatment of the Berry-Esseen error estimate in the central limit theorem.The authors assume mathematical maturity at a graduate level; otherwise the book is suitable for students with varying levels of background in analysis and measure theory. For the reader who needs refreshers, theorems from analysis and measure theory used in the main text are provided in comprehensive appendices, along with their proofs, for ease of reference.Rabi Bhattacharya is Professor of Mathematics at the University of Arizona. Edward Waymire is Professor of Mathematics at Oregon State University. Both authors have co-authored numerous books, including a series of four upcoming graduate textbooks in stochastic processes with applications. 280 pp. Englisch.
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Quicker paced introduction to the basics allows for a more in-depth treatment of such topics as convergence theory and Brownian motionSelf-contained and suitable for students with varying leve…ls of background in analysis and measure theoryI.
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Condición: New. Print on Demand pp. 280.
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Condición: New. PRINT ON DEMAND pp. 280.
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Editorial: Springer, Springer Feb 2017, 2017
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications. In this second edition, the text has been reorganized for didactic purposes, ne…w exercises have been added and basic theory has been expanded. General Markov dependent sequences and their convergence to equilibrium is the subject of an entirely new chapter. The introduction of conditional expectation and conditional probability very early in the text maintains the pedagogic innovation of the first edition; conditional expectation is illustrated in detail in the context of an expanded treatment of martingales, the Markov property, and the strong Markov property. Weak convergence of probabilities on metric spaces and Brownian motion are two topics to highlight. A selection of large deviation and/or concentration inequalities ranging from those of Chebyshev, Cramer-Chernoff, Bahadur-Rao, to Hoeffding have been added,with illustrative comparisons of their use in practice. This also includes a treatment of the Berry-Esseen error estimate in the central limit theorem.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.
