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  • Lingua: Inglese

    Editore: Springer, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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  • Lingua: Inglese

    Editore: Springer, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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  • Lingua: Inglese

    Editore: Springer, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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  • Lingua: Inglese

    Editore: Springer (India) Private Limited, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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    Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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    Condizione: New. pp. 348.

  • Lingua: Inglese

    Editore: Springer (India) Private Limited, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: New. pp. 348.

  • Lingua: Inglese

    Editore: Springer New York, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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  • Lingua: Inglese

    Editore: Springer, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook is the second volume of a pair that presents the latest English edition of the author's classic, Probability. Building on the foundations established in the preceding Probability-1, this volume guides the reader on to the theory of random processes. The new edition includes expanded material on financial mathematics and financial engineering; new problems, exercises, and proofs throughout; and a Historical Review charting the development of the mathematical theory of probability. Suitable for an advanced undergraduate or beginning graduate student with a course in probability theory, this volume forms the natural sequel to Probability-1.Probability-2 opens with classical results related to sequences and sums of independent random variables, such as the zero-one laws, convergence of series, strong law of large numbers, and the law of the iterated logarithm. The subsequent chapters go on to develop the theory of random processes with discrete time: stationary processes, martingales, and Markov processes. The Historical Review illustrates the growth from intuitive notions of randomness in history through to modern day probability theory and theory of random processes.Along with its companion volume, this textbook presents a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks, martingales, Markov chains, the measure-theoretic foundations of probability theory, weak convergence of probability measures, and the central limit theorem. Many examples are discussed in detail, and there are a large number of exercises throughout.

  • Lingua: Inglese

    Editore: Springer, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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    Taschenbuch. Condizione: Neu. Probability-2 | Albert N. Shiryaev | Taschenbuch | x | Englisch | 2021 | Springer | EAN 9781071618295 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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  • Lingua: Inglese

    Editore: Springer New York Jul 2021, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Advanced maths students have been waiting for this, the third edition of a text that deals with one of the fundamentals of their field. This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks and the Kalman-Bucy filter. Examples are discussed in detail, and there are a large number of exercises. This third edition contains new problems and exercises, new proofs, expanded material on financial mathematics, financial engineering, and mathematical statistics, and a final chapter on the history of probability theory. 360 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer (India) Private Limited, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    Condizione: New. PRINT ON DEMAND pp. 348.

  • Lingua: Inglese

    Editore: Springer, Springer Jul 2021, 2021

    1071618296 / 9781071618295

    Serie: Libro 159 di 180 - Graduate Texts in Mathematics

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook is the second volume of a pair that presents the latest English edition of the author¿s classic, Probability. Building on the foundations established in the preceding Probability-1, this volume guides the reader on to the theory of random processes. The new edition includes expanded material on financial mathematics and financial engineering; new problems, exercises, and proofs throughout; and a Historical Review charting the development of the mathematical theory of probability. Suitable for an advanced undergraduate or beginning graduate student with a course in probability theory, this volume forms the natural sequel to Probability-1.Probability-2 opens with classical results related to sequences and sums of independent random variables, such as the zeröone laws, convergence of series, strong law of large numbers, and the law of the iterated logarithm. The subsequent chapters go on to develop the theory of random processes with discrete time: stationary processes, martingales, and Markov processes. The Historical Review illustrates the growth from intuitive notions of randomness in history through to modern day probability theory and theory of random processes.Along with its companion volume, this textbook presents a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks, martingales, Markov chains, the measure-theoretic foundations of probability theory, weak convergence of probability measures, and the central limit theorem. Many examples are discussed in detail, and there are a large number of exercises throughout.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 360 pp. Englisch.