Editore: Cambridge University Press, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: Books From California, Simi Valley, CA, U.S.A.
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Editore: Cambridge University Press CUP, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 136,64
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Editore: Cambridge University Press, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 140,00
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Editore: Cambridge University Press, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 142,18
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Editore: Cambridge University Press, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 148,76
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Editore: Cambridge University Press, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 145,11
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Editore: Cambridge University Press, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 167,64
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Editore: Cambridge University Press, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 158,26
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Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
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Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 177,57
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This is a companion book to Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions by A.A. Borovkov and K.A. Borovkov. Its self-contained systematic exposition provides a highly useful resource for academic researchers and professionals interested in applications of probability in statistics, ruin theory, and queuing theory. The large deviation principle for random walks was first established by the author in 1967, under the restrictive condition that the distribution tails decay faster than exponentially. (A close assertion was proved by S.R.S. Varadhan in 1966, but only in a rather special case.) Since then, the principle has always been treated in the literature only under this condition. Recently, the author jointly with A.A. Mogul'skii removed this restriction, finding a natural metric for which the large deviation principle for random walks holds without any conditions. This new version is presented in the book, as well as a new approach to studying large deviations in boundary crossing problems. Many results presented in the book, obtained by the author himself or jointly with co-authors, are appearing in a monograph for the first time. This is a complete and systematic modern treatise on large deviation theory for random walks with light-tailed jump distributions, presented by one of its key creators. Such distributions have numerous applications in statistics, ruin theory, and queuing theory. This is a companion to the author's earlier monograph on heavy-tailed distributions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 192,51
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Editore: Cambridge University Press, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 205,02
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Editore: Cambridge University Press, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 203,84
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Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 172,84
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This is a companion book to Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions by A.A. Borovkov and K.A. Borovkov. Its self-contained systematic exposition provides a highly useful resource for academic researchers and professionals interested in applications of probability in statistics, ruin theory, and queuing theory. The large deviation principle for random walks was first established by the author in 1967, under the restrictive condition that the distribution tails decay faster than exponentially. (A close assertion was proved by S.R.S. Varadhan in 1966, but only in a rather special case.) Since then, the principle has always been treated in the literature only under this condition. Recently, the author jointly with A.A. Mogul'skii removed this restriction, finding a natural metric for which the large deviation principle for random walks holds without any conditions. This new version is presented in the book, as well as a new approach to studying large deviations in boundary crossing problems. Many results presented in the book, obtained by the author himself or jointly with co-authors, are appearing in a monograph for the first time. This is a complete and systematic modern treatise on large deviation theory for random walks with light-tailed jump distributions, presented by one of its key creators. Such distributions have numerous applications in statistics, ruin theory, and queuing theory. This is a companion to the author's earlier monograph on heavy-tailed distributions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 229,08
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Editore: Cambridge University Press, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 217,26
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Editore: Cambridge University Press, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 217,25
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EUR 180,00
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Aggiungi al carrelloCondizione: New. This is a complete and systematic modern treatise on large deviation theory for random walks with light-tailed jump distributions, presented by one of its key creators. Such distributions have numerous applications in statistics, ruin theory, and queuing th.
Editore: Cambridge University Press, Cambridge, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 242,57
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book focuses on the asymptotic behavior of the probabilities of large deviations of the trajectories of random walks with 'heavy-tailed' (in particular, regularly varying, sub- and semiexponential) jump distributions. Large deviation probabilities are of great interest in numerous applied areas, typical examples being ruin probabilities in risk theory, error probabilities in mathematical statistics, and buffer-overflow probabilities in queueing theory. The classical large deviation theory, developed for distributions decaying exponentially fast (or even faster) at infinity, mostly uses analytical methods. If the fast decay condition fails, which is the case in many important applied problems, then direct probabilistic methods usually prove to be efficient. This monograph presents a unified and systematic exposition of the large deviation theory for heavy-tailed random walks. Most of the results presented in the book are appearing in a monograph for the first time. Many of them were obtained by the authors. 'Heavy-tailed' distributions describe claim sizes in insurance, losses in finance, and more. In many applications, critically important events can be represented as 'large deviations' of random walks - computing probabilities of such events is essential. This monograph presents a unified systematic exposition of the large deviations theory for heavy-tailed random walks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 240,46
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 247,99
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Editore: Cambridge University Press, Cambridge, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 236,55
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book focuses on the asymptotic behavior of the probabilities of large deviations of the trajectories of random walks with 'heavy-tailed' (in particular, regularly varying, sub- and semiexponential) jump distributions. Large deviation probabilities are of great interest in numerous applied areas, typical examples being ruin probabilities in risk theory, error probabilities in mathematical statistics, and buffer-overflow probabilities in queueing theory. The classical large deviation theory, developed for distributions decaying exponentially fast (or even faster) at infinity, mostly uses analytical methods. If the fast decay condition fails, which is the case in many important applied problems, then direct probabilistic methods usually prove to be efficient. This monograph presents a unified and systematic exposition of the large deviation theory for heavy-tailed random walks. Most of the results presented in the book are appearing in a monograph for the first time. Many of them were obtained by the authors. 'Heavy-tailed' distributions describe claim sizes in insurance, losses in finance, and more. In many applications, critically important events can be represented as 'large deviations' of random walks - computing probabilities of such events is essential. This monograph presents a unified systematic exposition of the large deviations theory for heavy-tailed random walks. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press Okt 2020, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 222,09
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware.
Editore: Cambridge University Press CUP, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 306,70
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Aggiungi al carrelloCondizione: New. pp. xxix + 625 Index.
Editore: Cambridge University Press, Cambridge, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 283,41
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book focuses on the asymptotic behavior of the probabilities of large deviations of the trajectories of random walks with 'heavy-tailed' (in particular, regularly varying, sub- and semiexponential) jump distributions. Large deviation probabilities are of great interest in numerous applied areas, typical examples being ruin probabilities in risk theory, error probabilities in mathematical statistics, and buffer-overflow probabilities in queueing theory. The classical large deviation theory, developed for distributions decaying exponentially fast (or even faster) at infinity, mostly uses analytical methods. If the fast decay condition fails, which is the case in many important applied problems, then direct probabilistic methods usually prove to be efficient. This monograph presents a unified and systematic exposition of the large deviation theory for heavy-tailed random walks. Most of the results presented in the book are appearing in a monograph for the first time. Many of them were obtained by the authors. 'Heavy-tailed' distributions describe claim sizes in insurance, losses in finance, and more. In many applications, critically important events can be represented as 'large deviations' of random walks - computing probabilities of such events is essential. This monograph presents a unified systematic exposition of the large deviations theory for heavy-tailed random walks. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 307,88
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Aggiungi al carrelloHardcover. Condizione: Brand New. 625 pages. 9.50x6.50x1.75 inches. In Stock.
Editore: Cambridge University Press, 2008
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 291,30
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the asymptotic behaviour of the probabilities of large deviations of the trajectories of random walks with 'heavy-tailed' (in particular, regularly varying, sub- and semiexponential) jump distributions. Large deviation probabilities are of great interest in numerous applied areas, typical examples being ruin probabilities in risk theory, error probabilities in mathematical statistics, and buffer-overflow probabilities in queueing theory. The classical large deviation theory, developed for distributions decaying exponentially fast (or even faster) at infinity, mostly uses analytical methods. If the fast decay condition fails, which is the case in many important applied problems, then direct probabilistic methods usually prove to be efficient. This monograph presents a unified and systematic exposition of the large deviation theory for heavy-tailed random walks. Most of the results presented in the book are appearing in a monograph for the first time. Many of them were obtained by the authors.
Editore: Cambridge University Press, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 174,84
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 840.
Editore: Cambridge University Press, 2020
ISBN 10: 1107074681 ISBN 13: 9781107074682
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 169,99
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Aggiungi al carrelloHardcover. Condizione: Brand New. 450 pages. 9.25x6.25x1.25 inches. In Stock. This item is printed on demand.
Da: Revaluation Books, Exeter, Regno Unito
EUR 235,98
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Aggiungi al carrelloHardcover. Condizione: Brand New. 625 pages. 9.50x6.50x1.75 inches. In Stock. This item is printed on demand.
Editore: Cambridge University Press, 2015
ISBN 10: 052188117X ISBN 13: 9780521881173
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 233,58
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Heavy-tailed distributions describe claim sizes in insurance, losses in finance, and more. In many applications, critically important events can be represented as large deviations of random walks - computing probabilities of such events is essential. Th.