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Nonlinear Time Series: Nonparametric and Parametric Methods by Jianqing Fan (Eng

Description: Nonlinear Time Series by Jianqing Fan, Qiwei Yao Estimated delivery 3-12 business days Format Paperback Condition Brand New Description In spite of the fact that the - plication of nonparametric techniques in time series can be traced back to the 1940s at least, there still exists healthy and justi?ed skepticism about the capability of nonparametric methods in time series analysis. Publisher Description Amongmanyexcitingdevelopmentsinstatisticsoverthelasttwodecades, nonlineartimeseriesanddata-analyticnonparametricmethodshavegreatly advanced along seemingly unrelated paths. In spite of the fact that the - plication of nonparametric techniques in time series can be traced back to the 1940s at least, there still exists healthy and justi?ed skepticism about the capability of nonparametric methods in time series analysis. As - thusiastic explorers of the modern nonparametric toolkit, we feel obliged to assemble together in one place the newly developed relevant techniques. Theaimofthisbookistoadvocatethosemodernnonparametrictechniques that have proven useful for analyzing real time series data, and to provoke further research in both methodology and theory for nonparametric time series analysis. Modern computers and the information age bring us opportunities with challenges. Technological inventions have led to the explosion in data c- lection (e.g., daily grocery sales, stock market trading, microarray data). The Internet makes big data warehouses readily accessible. Although cl- sic parametric models, which postulate global structures for underlying systems, are still very useful, large data sets prompt the search for more re?nedstructures,whichleadstobetterunderstandingandapproximations of the real world. Beyond postulated parametric models, there are in?nite other possibilities. Nonparametric techniques provide useful exploratory tools for this venture, including the suggestion of new parametric models and the validation of existing ones. Details ISBN 0387261427 ISBN-13 9780387261423 Title Nonlinear Time Series Author Jianqing Fan, Qiwei Yao Format Paperback Year 2005 Pages 552 Edition 1st Publisher Springer-Verlag New York Inc. GE_Item_ID:137732594; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Nonlinear Time Series: Nonparametric and Parametric Methods by Jianqing Fan (Eng

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9780387261423

Book Title: Nonlinear Time Series

Number of Pages: Xx, 552 Pages

Publication Name: Nonlinear Time Series : Nonparametric and Parametric Methods

Language: English

Publisher: Springer New York

Subject: Probability & Statistics / General, Econometrics, Probability & Statistics / Time Series, Applied, Mathematical Analysis

Publication Year: 2005

Item Weight: 62.1 Oz

Type: Textbook

Subject Area: Mathematics, Business & Economics

Author: Qiwei YAO, Jianqing Fan

Item Length: 9.3 in

Series: Springer Series in Statistics Ser.

Item Width: 6.1 in

Format: Trade Paperback

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