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Statistical Inference for Ergodic Diffusion Processes - Brossura
Libro 71 di 160: Springer Series in Statistics
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The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mathematical literature and presents, for the first time in book form, many new techniques and approaches.
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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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Statistical Inference for Ergodic Diffusion Processes (eng)
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Statistical Inference for Ergodic Diffusion Processes
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Springer London, Springer London Okt 2010, 2010
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ISBN 13: 9781849969062
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Taschenbuch. Condizione: 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. Codice articolo 9781849969062
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Condizione: 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. Codice articolo 4288967
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Taschenbuch. Condizione: 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. Codice articolo 9781849969062
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Statistical Inference for Ergodic Diffusion Processes
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ISBN 13: 9781849969062
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