Written by an internationally recognized expert in the field, this book provides a valuable introduction to the rapidly growing area of non-linear time series. Because developments in the study of dynamical systems have motivated many of the advances discussed here, the author's coverage includes such fundamental concepts of dynamical systems theory as limit cycles, Lyapunov functions, thresholds, and stability, with detailed descriptions of their role in the analysis of non-linear time series data. As the first accessible and comprehensive account of these exciting new developments, this unique volume bridges the gap between linear and chaotic time series analysis. Both statisticians and dynamical systems theorists will value its survey of recent developments and the present state of research, as well as the discussion of a number of unsolved problems in the field.
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Howell Tong is at University of Kent, Canterbury.
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Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # GOR014315226
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Seller: Antiquariat Renner OHG, Albstadt, Germany
Softcover. Condition: Sehr gut. Reprint with corrections of the ed. 1990. Oxford UP (1995). gr.8°. Some figs. XVI, 564 p. Pbck. (top spine-end slightly bumped).- Oxford Statistical Science Series, 6.- With exercises.- Incl. bibliography. Seller Inventory # 94993
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Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. The analysis of time series data has for many years been a central component of statistical research and practice. Although the theory of linear time series is now well established, that of non-linear time series is still a developing subject. This is an introduction to current developments. Series: Oxford Statistical Science Series. Num Pages: 580 pages, numerous line figures. BIC Classification: PBT; PBWS. Category: (P) Professional & Vocational. Dimension: 232 x 156 x 32. Weight in Grams: 844. . 1993. Paperback. . . . . Seller Inventory # V9780198523000
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