9780387950396 - asymptotic theory of statistical inference for time series (springer series in statistics) von taniguchi, masanobu; kakizawa, yoshihide (10 Ergebnisse)
Sprache: Englisch
Verlag: Springer, Ny 2000
Serie: Springer Series in Statistics, Buch 52 von 160. Buch 52 von 160 - Springer Series in Statistics
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Hardcover. Zustand: Fine. 1st Edition. Inscribed And Autographed By Masanobu. Signed by Author(s).
Sprache: Englisch
Verlag: Springer 2000
Serie: Springer Series in Statistics, Buch 52 von 160. Buch 52 von 160 - Springer Series in Statistics
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Sprache: Englisch
Verlag: Springer 2000
Serie: Springer Series in Statistics, Buch 52 von 160. Buch 52 von 160 - Springer Series in Statistics
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Sprache: Englisch
Verlag: Springer 2000
Serie: Springer Series in Statistics, Buch 52 von 160. Buch 52 von 160 - Springer Series in Statistics
- Hardcover
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Zustand: New. pp. 684.
Sprache: Englisch
Verlag: Springer, Humana 2000
Serie: Springer Series in Statistics, Buch 52 von 160. Buch 52 von 160 - Springer Series in Statistics
- Hardcover
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Buch. Zustand: 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 call…ed 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.
Sprache: Englisch
Verlag: Springer, Humana Aug 2000 2000
Serie: Springer Series in Statistics, Buch 52 von 160. Buch 52 von 160 - Springer Series in Statistics
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Buch. Zustand: 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 obse…rvations 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.
Sprache: Englisch
Verlag: Springer New York 2000
Serie: Springer Series in Statistics, Buch 52 von 160. Buch 52 von 160 - Springer Series in Statistics
- Hardcover
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Zustand: 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 va…riety of stochastic processes, includi.
Sprache: Englisch
Verlag: Springer, Humana Aug 2000 2000
Serie: Springer Series in Statistics, Buch 52 von 160. Buch 52 von 160 - Springer Series in Statistics
- Hardcover
- Print-on-Demand
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Buch. Zustand: 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 observat…ions 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.
Sprache: Englisch
Verlag: Springer 2000
Serie: Springer Series in Statistics, Buch 52 von 160. Buch 52 von 160 - Springer Series in Statistics
- Hardcover
- Print-on-Demand
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Zustand: New. Print on Demand pp. 684 Illus.
Sprache: Englisch
Verlag: Springer 2000
Serie: Springer Series in Statistics, Buch 52 von 160. Buch 52 von 160 - Springer Series in Statistics
- Hardcover
- Print-on-Demand
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Zustand: New. PRINT ON DEMAND pp. 684.
