Themed on the fact that the standard linear time series tools leave unexamined and unexploited economically significant features in frequently used data sets, this book comprises original contributions written by specialists in the field. It is useful to seasoned veterans of nonlinear time series analysis. Editor(s): Rothman, Philip. Series: Dynamic Modeling and Econometrics in Economics and Finance. Num Pages: 389 pages, biography. BIC Classification: KCH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 22. Weight in Grams: 730. . 1999. 1999th Edition. hardcover. . . . .

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Bibliographic Details

Title: Nonlinear Time Series Analysis of Economic and Financial Data
Publisher: Kluwer Academic Publishers
Publication Date: 1999
Language: English
ISBN 10: 0792383796
ISBN 13: 9780792383796
Binding: Hardcover
Condition: New

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Nonlinear Time Series Analysis of Economic and Financial Data provides an examination of the flourishing interest that has developed in this area over the past decade. The constant theme throughout this work is that standard linear time series tools leave unexamined and unexploited economically significant features in frequently used data sets. The book comprises original contributions written by specialists in the field, and offers a combination of both applied and methodological papers. It will be useful to both seasoned veterans of nonlinear time series analysis and those searching for an informative panoramic look at front-line developments in the area.

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