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Statistical Inference Ergodic Diffusion by Kutoyants Yury (23 results)
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Statistical Inference for Ergodic Diffusion Processes (Springer Series in Statistics)
Book 71 of 160: Springer Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: Used. pp. 500.
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Statistical Inference for Ergodic Diffusion Processes
Book 71 of 160: Springer Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: Used. pp. 500 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Statistical Inference for Ergodic Diffusion Processes
Book 71 of 160: Springer Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: Used. pp. 500.
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Statistical Inference for Ergodic Diffusion Processes (Springer Series in Statistics)
Book 71 of 160: Springer Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Statistical Inference for Ergodic Diffusion Processes
Book 71 of 160: Springer Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Statistical Inference for Ergodic Diffusion Processes
Book 71 of 160: Springer Series in StatisticsLanguage: English
Published by Springer London, Springer London, 2010
ISBN 10: 184996906X ISBN 13: 9781849969062
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Statistical Inference for Ergodic Diffusion Processes encompasses a wealth of results from over ten years of mathematical literature. It provides a comprehensive overview of existing techniques, and presents - for the first time in book form - many new techniques and approaches. An elementary introduction to the field at the start of the book introduces a class of examples - both non-standard and classical - that reappear as the investigation progresses to illustrate the merits and demerits of the procedures. The statements of the problems are in the spirit of classical mathematical statistics, and special attention is paid to asymptotically efficient procedures. Today, diffusion processes are widely used in applied problems in fields such as physics, mechanics and, in particular, financial mathematics. This book provides a state-of-the-art reference that will prove invaluable to researchers, and graduate and postgraduate students, in areas such as financial mathematics, economics, physics, mechanics and the biomedical sciences.From the reviews:'This book is very much in the Springer mould of graduate mathematical statistics books, giving rapid access to the latest literature.It presents a strong discussion of nonparametric and semiparametric results, from both classical and Bayesian standpoints.I have no doubt that it will come to be regarded as a classic text.' Journal of the Royal Statistical Society, Series A, v. 167.
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Taschenbuch. Condition: Neu. Statistical Inference for Ergodic Diffusion Processes | Yury A. Kutoyants | Taschenbuch | xiv | Englisch | 2010 | Springer | EAN 9781849969062 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Statistical Inference for Ergodic Diffusion Processes
Book 71 of 160: Springer Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Statistical Inference for Ergodic Diffusion Processes
Book 71 of 160: Springer Series in StatisticsLanguage: English
Published by Springer London, Springer London Okt 2010, 2010
ISBN 10: 184996906X ISBN 13: 9781849969062
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Statistical Inference for Ergodic Diffusion Processes encompasses a wealth of results from over ten years of mathematical literature. It provides a comprehensive overview of existing techniques, and presents - for the first time in book form - many new techniques and approaches. An elementary introduction to the field at the start of the book introduces a class of examples - both non-standard and classical - that reappear as the investigation progresses to illustrate the merits and demerits of the procedures. The statements of the problems are in the spirit of classical mathematical statistics, and special attention is paid to asymptotically efficient procedures. Today, diffusion processes are widely used in applied problems in fields such as physics, mechanics and, in particular, financial mathematics. This book provides a state-of-the-art reference that will prove invaluable to researchers, and graduate and postgraduate students, in areas such as financial mathematics, economics, physics, mechanics and the biomedical sciences.From the reviews:'This book is very much in the Springer mould of graduate mathematical statistics books, giving rapid access to the latest literature.It presents a strong discussion of nonparametric and semiparametric results, from both classical and Bayesian standpoints.I have no doubt that it will come to be regarded as a classic text.' Journal of the Royal Statistical Society, Series A, v. 167 500 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspectiveProvides a systematic exposition of theoretical results from over ten years of mathematical literaturePresents, for the first t.
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Statistical Inference for Ergodic Diffusion Processes
Book 71 of 160: Springer Series in StatisticsSeller: THE SAINT BOOKSTORE, Southport, United Kingdom
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£ 127.05
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Statistical Inference for Ergodic Diffusion Processes
Book 71 of 160: Springer Series in StatisticsLanguage: English
Published by Springer, Springer Okt 2010, 2010
ISBN 10: 184996906X ISBN 13: 9781849969062
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Statistical Inference for Ergodic Diffusion Processes encompasses a wealth of results from over ten years of mathematical literature. It provides a comprehensive overview of existing techniques, and presents - for the first time in book form - many new techniques and approaches. An elementary introduction to the field at the start of the book introduces a class of examples - both non-standard and classical - that reappear as the investigation progresses to illustrate the merits and demerits of the procedures. The statements of the problems are in the spirit of classical mathematical statistics, and special attention is paid to asymptotically efficient procedures. Today, diffusion processes are widely used in applied problems in fields such as physics, mechanics and, in particular, financial mathematics. This book provides a state-of-the-art reference that will prove invaluable to researchers, and graduate and postgraduate students, in areas such as financial mathematics, economics, physics, mechanics and the biomedical sciences.From the reviews:'This book is very much in the Springer mould of graduate mathematical statistics books, giving rapid access to the latest literature.It presents a strong discussion of nonparametric and semiparametric results, from both classical and Bayesian standpoints.I have no doubt that it will come to be regarded as a classic text.' Journal of the Royal Statistical Society, Series A, v. 167Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 500 pp. Englisch.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspectiveProvides a systematic exposition of theoretical results from over ten years of mathematical literaturePresents, for the first t.
