Using Time Series to Analyze Long-Range Fractal Patterns
«This is coherent treatment of fractal time-series methods that will be exceptionally useful.»
Courtney Brown
Using Time Series to Analyze Long Range Fractal Patterns presents methods for describing and analyzing dependency and irregularity in long time series. Irregularity refers to cycles that are similar in appearance, but unlike seasonal patterns more familiar to social scientists, repeated over a time scale that is not fixed. Les mer
Detaljer
- Forlag
- SAGE Publications Inc
- Innbinding
- Paperback
- Språk
- Engelsk
- Sider
- 120
- ISBN
- 9781544361420
- Utgivelsesår
- 2021
- Format
- 22 x 14 cm
Anmeldelser
«This is coherent treatment of fractal time-series methods that will be exceptionally useful.»
Courtney Brown
«Each analysis is explained, and also the differences between the analyses are explained in a systematic way.»
Mustafa Demir
«This volume offers a nice introduction to the various methods that can be used to discuss long range dependencies in univariate time series data. Koopmans makes a compelling case for these methods and offers clear exposition»
Clayton Webb
«This amazing book provides a concise and solid foundation to the study of long-range process. In a short volume, the author successfully summarizes the theory of fractal approaches and provides many interesting and convincing examples. I highly recommend this book.»
I-Ming Chiu