9780387950396 - asymptotic theory of statistical inference for time series (springer series in statistics) de taniguchi, masanobu; kakizawa, yoshihide (12 resultados)

Idioma: Inglés
Editorial: Springer, Ny 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Librería: Feldman's Books, Menlo Park, CA, Estados Unidos de AmericaFeldman's Books
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Hardcover. Condición: Fine. 1st Edition. Inscribed And Autographed By Masanobu. Signed by Author(s).

Idioma: Inglés
Editorial: Springer 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Idioma: Inglés
Editorial: Springer 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Idioma: Inglés
Editorial: Springer 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Condición: New. pp. 684.

Idioma: Inglés
Editorial: Springer 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Idioma: Inglés
Editorial: Springer 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Idioma: Inglés
Editorial: Springer, Humana 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - There has been much demand for the statistical analysis of dependent ob servations in many fields, for example, economics, engineering and the nat ural sciences. A model that describes the probability structure of a se ries of dependent observations is ca…lled a stochastic process. The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) processes. We deal with a wide variety of stochastic processes, for example, non-Gaussian linear processes, long-memory processes, nonlinear processes, orthogonal increment process es, and continuous time processes. For them we develop not only the usual estimation and testing theory but also many other statistical methods and techniques, such as discriminant analysis, cluster analysis, nonparametric methods, higher order asymptotic theory in view of differential geometry, large deviation principle, and saddlepoint approximation. Because it is d ifficult to use the exact distribution theory, the discussion is based on the asymptotic theory. Optimality of various procedures is often shown by use of local asymptotic normality (LAN), which is due to LeCam. This book is suitable as a professional reference book on statistical anal ysis of stochastic processes or as a textbook for students who specialize in statistics. It will also be useful to researchers, including those in econo metrics, mathematics, and seismology, who utilize statistical methods for stochastic processes.

Idioma: Inglés
Editorial: Springer New York 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Librería: moluna, Greven, , Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual AR, MA, and ARMA processes. A wide…variety of stochastic processes, includi.

Idioma: Inglés
Editorial: Springer, Humana Aug 2000 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -There has been much demand for the statistical analysis of dependent ob servations in many fields, for example, economics, engineering and the nat ural sciences. A model that describes the probability structure of a se ries of dependent ob…servations is called a stochastic process. The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) processes. We deal with a wide variety of stochastic processes, for example, non-Gaussian linear processes, long-memory processes, nonlinear processes, orthogonal increment process es, and continuous time processes. For them we develop not only the usual estimation and testing theory but also many other statistical methods and techniques, such as discriminant analysis, cluster analysis, nonparametric methods, higher order asymptotic theory in view of differential geometry, large deviation principle, and saddlepoint approximation. Because it is d ifficult to use the exact distribution theory, the discussion is based on the asymptotic theory. Optimality of various procedures is often shown by use of local asymptotic normality (LAN), which is due to LeCam. This book is suitable as a professional reference book on statistical anal ysis of stochastic processes or as a textbook for students who specialize in statistics. It will also be useful to researchers, including those in econo metrics, mathematics, and seismology, who utilize statistical methods for stochastic processes. 684 pp. Englisch.

Idioma: Inglés
Editorial: Springer, Humana Aug 2000 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -There has been much demand for the statistical analysis of dependent ob servations in many fields, for example, economics, engineering and the nat ural sciences. A model that describes the probability structure of a se ries of dependent observ…ations is called a stochastic process. The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) processes. We deal with a wide variety of stochastic processes, for example, non-Gaussian linear processes, long-memory processes, nonlinear processes, orthogonal increment process es, and continuous time processes. For them we develop not only the usual estimation and testing theory but also many other statistical methods and techniques, such as discriminant analysis, cluster analysis, nonparametric methods, higher order asymptotic theory in view of differential geometry, large deviation principle, and saddlepoint approximation. Because it is d ifficult to use the exact distribution theory, the discussion is based on the asymptotic theory. Optimality of various procedures is often shown by use of local asymptotic normality (LAN), which is due to LeCam. This book is suitable as a professional reference book on statistical anal ysis of stochastic processes or as a textbook for students who specialize in statistics. It will also be useful to researchers, including those in econo metrics, mathematics, and seismology, who utilize statistical methods for stochastic processes.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 684 pp. Englisch.

Idioma: Inglés
Editorial: Springer 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Librería: Majestic Books, Hounslow, , Reino UnidoMajestic Books
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Condición: New. Print on Demand pp. 684 Illus.

Idioma: Inglés
Editorial: Springer 2000
Serie: Springer Series in Statistics, Libro 52 de 160. Libro 52 de 160 - Springer Series in Statistics
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. 684.