Asymptotic Theory of Statistical Inference for Time Series
Language: English
Published by Springer, Humana Aug 2000, 2000
- Hardcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 158.98
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Add to basketItem description from seller
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 observations 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.…
Seller Inventory # 9780387950396
- Title
- Asymptotic Theory of Statistical Inference for Time Series
- Author
- Masanobu Taniguchi
- Publisher
- Springer, Humana Aug 2000
- Publication year
- 2000
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0387950397
- ISBN 13
- 9780387950396
- Item weight
- 1,180 grams
- Dimensions
- 241x160x41 mm
- Series
- Book 52 of 160: Springer Series in Statistics
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Review
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MATHEMATICAL REVIEWS
"It is valuable both as an advanced graduate level text and as a reference for researchers?he book can be most strongly recommended."
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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