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Nonlinear time series analysis with r / Ray Huffaker, Department of Agricultural and Biological Engineering, University of Florida, USA, Marco Bittelli, Department of Agricultural Sciences, University of Bologna, Italy, Rodolfo Rosa, National Research Council (CNR), Institute for Microelectronics and Microsystems, Section of Bologna, Italy.
- Format:
- Book
- Author/Creator:
- Huffaker, Ray, author.
- Bittelli, Marco, author.
- Rosa, Rodolfo, author.
- Language:
- English
- Subjects (All):
- Time-series analysis.
- Nonlinear theories.
- R (Computer program language).
- Physical Description:
- 1 online resource : illustrations (black and white)
- Edition:
- First edition.
- Place of Publication:
- Oxford : Oxford University Press, 2018.
- 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.
- Notes:
- This edition previously issued in print: 2017.
- Includes bibliographical references and index.
- Description based on print version record.
- ISBN:
- 0-19-182615-4
- 0-19-108579-0
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