Nonlinear time series analysis with R / Ray Huffaker, Marco Bittelli, and Rodolfo Rosa.
Material type:
TextPublisher: Oxford : Oxford University Press, 2018Edition: First editionDescription: 1 online resource : illustrations (black and white)Content type: text | still image Media type: computer Carrier type: online resourceISBN: 9780191826153 (ebook) :Subject(s): Time-series analysis | Nonlinear theories | R (Computer program language)Additional physical formats: Print version :: No titleDDC classification: 519.55 LOC classification: QA280Online resources: e-book Full-text access Summary: A practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| E-Books | MEF eKitap Kütüphanesi | Oxford Scholarship Online eBook - EBA | 1 | Available |
This edition previously issued in print: 2017.
Includes bibliographical references and index.
A practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces.
Specialized.
Description based on online resource; title from home page (viewed on January 3, 2018).