Scaling and nonlinear behaviour of daily mean temperature time series across IndiaAuthor-Name: Ray, Rajdeep
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DOI: 10.1016/j.chaos.2015.12.016
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- Chang, Lo-Bin & Geman, Stuart, 2013. "Empirical scaling laws and the aggregation of non-stationary data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5046-5052.
- Di Matteo, T. & Aste, T. & Dacorogna, M.M., 2003. "Scaling behaviors in differently developed markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 183-188.
- Katz, J. Sylvan, 1999. "The self-similar science system1," Research Policy, Elsevier, vol. 28(5), pages 501-517, June.
- Zebende, G.F. & da Silva, P.A. & Machado Filho, A., 2011. "Study of cross-correlation in a self-affine time series of taxi accidents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1677-1683.
- Bezsudnov, I.V. & Snarskii, A.A., 2014. "From the time series to the complex networks: The parametric natural visibility graph," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 53-60.
- Rivera-Castro, Miguel A. & Miranda, José G.V. & Cajueiro, Daniel O. & Andrade, Roberto F.S., 2012. "Detecting switching points using asymmetric detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 170-179.
- Florindo, João Batista & Bruno, Odemir Martinez, 2012. "Fractal descriptors based on Fourier spectrum applied to texture analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4909-4922.
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Keywords
Hurst Exponent; Daily mean temperature; Detrended Fluctuation Analysis; Higuchi; Visibility Graph Analysis; Delay Vector Variance;All these keywords.
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