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Referencias:

• Tsallis, C., Possible generalization of Boltzmann-Gibbs statistics (1988) J. Stat. Phys., 52, pp. 479-487
• Havrda, J., Chárvat, F., Quantification methods of classification processes: Concepts of structural α-entropy (1967) Kybernetica, 3, pp. 30-35
• Daróczy, Z., Generalized information functions (1970) Inf. Control, 16, pp. 36-51
• Alemany, P.A., Zanette, D.H., Fractal random walks from a variational formalism for Tsallis entropies (1994) Phys. Rev. E, 49 (2), pp. R956-R958
• Tsallis, C., Nonextensive thermostatistics and fractals (1995) Fractals, 3 (3), pp. 541-547
• Capurro, A., Diambra, L., Lorenzo, D., Macadar, O., Martin, M.T., Mostaccio, C., Plastino, A., Velluti, J., Tsallis entropy and cortical dynamics: The analysis of EEG signals (1998) Physica A, 257, pp. 149-155
• Tong, S., Bezerianos, A., Paul, J., Zhu, Y., Thakor, N., Nonextensive entropy measure of EEG following brain injury from cardiac arrest (2002) Physica A, 305, pp. 619-628
• Tsallis, C., Anteneodo, C., Borland, L., Osorio, R., Nonextensive statistical mechanics and economics (2003) Physica A, 324 (1-2), pp. 89-100
• Rosso, O.A., Martín, M.T., Plastino, A., Brain electrical activity analysis using wavelet-based informational tools (II): Tsallis non-extensivity and complexity measures (2003) Physica A, 320, pp. 497-511
• Borland, L., Long-range memory and nonextensivity in financial markets (2005) Europhys. News, 36, pp. 228-231
• Huang, H., Xie, H., Wang, Z., The analysis of VF and VT with wavelet-based Tsallis information measure (2005) Phys. Lett. A, 336, pp. 180-187
• Pérez, D.G., Zunino, L., Martín, M.T., Garavaglia, M., Plastino, A., Rosso, O.A., Model-free stochastic processes studied with q-wavelet-based informational tools (2007) Phys. Lett. A, 364, pp. 259-266
• Kalimeri, M., Papadimitriou, C., Balasis, G., Eftaxias, K., Dynamical complexity detection in pre-seismic emissions using nonadditive Tsallis entropy (2008) Physica A, 387, pp. 1161-1172
• Tsallis, C., Generalized entropy-based criterion for consistent testing (1998) Phys. Rev. E, 58, pp. 1442-1445
• Bandt, C., Pompe, B., Permutation entropy: A natural complexity measure for time series (2002) Phys. Rev. Lett., 88, p. 174102
• Keller, K., Lauffer, H., Symbolic analysis of high-dimensional time series (2003) Internat. J. Bifur. Chaos, 13, pp. 2657-2668
• Cao, Y., Tung, W., Gao, J.B., Protopopescu, V.A., Hively, L.M., Detecting dynamical changes in time series using the permutation entropy (2004) Phys. Rev. E, 70, p. 046217
• Larrondo, H.A., González, C.M., Martín, M.T., Plastino, A., Rosso, O.A., Intensive statistical complexity measure of pseudorandom number generators (2005) Physica A, 356, pp. 133-138
• Larrondo, H.A., Martín, M.T., González, C.M., Plastino, A., Rosso, O.A., Random number generators and causality (2006) Phys. Lett. A, 352, pp. 421-425
• Kowalski, A., Martín, M.T., Plastino, A., Rosso, O.A., Bandt-Pompe approach to the classical-quantum transition (2007) Physica D, 233, pp. 21-31
• Rosso, O.A., Larrondo, H.A., Martín, M.T., Plastino, A., Fuentes, M.A., Distinguishing noise from chaos (2007) Phys. Rev. Lett., 99, p. 154102
• Rosso, O., Vicente, R., Mirasso, C., Encryption test of pseudo-aleatory messages embedded on chaotic laser signals: An information theory approach (2008) Phys. Lett. A, 372, pp. 1018-1023
• Li, X., Ouyang, G., Richards, D.A., Predictability analysis of absence seizures with permutation entropy (2007) Epilepsy Res., 77, pp. 70-74
• Mandelbrot, B.B., (1982) The Fractal Geometry of Nature, , W. H. Freeman, New York
• Voss, R.F., Evolution of long-range fractal correlations and 1 / f noise in DNA base sequences (1992) Phys. Rev. Lett., 68, pp. 3805-3808
• Allegrini, P., Buiatti, M., Grigolini, P., West, B.J., Fractional Brownian motion as a nonstationary process: An alternative paradigm for DNA sequences (1998) Phys. Rev. E, 57, pp. 4558-4567
• Su, Z.-Y., Wu, T., Music walk, fractal geometry in music (2007) Physica A, 380, pp. 418-428
• Abry, P., Flandrin, P., Taqqu, M.S., Veitch, D., Wavelets for the analysis, estimation, and synthesis of scaling data (2000) Self-similar Network Traffic and Performance Evaluation, pp. 39-87. , Park K., and Willinger W. (Eds), Wiley
• Chechkin, A.V., Gonchar, V.Y., Fractional Brownian motion approximation based on fractional integration of a white noise (2001) Chaos Solitons Fractals, 12, pp. 391-398
• McGaughey, D.R., Aitken, G.J.M., Generating two-dimensional fractional Brownian motion using the fractional Gaussian process (FGp) algorithm (2002) Physica A, 311, pp. 369-380
• Zunino, L., Pérez, D., Garavaglia, M., Rosso, O., Wavelet entropy of stochastic processes (2007) Physica A, 379, pp. 503-512
• Rosso, O.A., Zunino, L., Pérez, D.G., Figliola, A., Larrondo, H.A., Garavaglia, M., Martín, M.T., Plastino, A., Extracting features of Gaussian self-similar stochastic processes via the Bandt & Pompe approach (2007) Phys. Rev. E, 76, p. 061114
• Zunino, L., Pérez, D.G., Martín, M.T., Garavaglia, M., Plastino, A., Rosso, O.A., Permutation entropy of fractional Brownian motion and fractional Gaussian noise (2008) Phys. Lett. A, 372, pp. 4768-4774
• Keller, K., Sinn, M., Ordinal analysis of time series (2005) Physica A, 356, pp. 114-120
• Zunino, L., Pérez, D.G., Martín, M.T., Plastino, A., Garavaglia, M., Rosso, O.A., Characterization of Gaussian self-similar stochastic processes using wavelet-based informational tools (2007) Phys. Rev. E, 75, p. 021115
• Beran, J., Statistics for long-memory processes (1994) Monographs on Statistics and Applied Probability, 61. , Chapman & Hall
• Bandt, C., Shiha, F., Order patterns in time series (2007) J. Time Ser. Anal., 28, pp. 646-665
• Davies, R.B., Harte, D.S., Tests for Hurst effect (1987) Biometrika, 74, pp. 95-102
• Wood, A.T.A., Chan, G., Simulation of stationary Gaussian processes in [0, 1]d (1994) J. Comput. Graph. Statist., 3 (4), pp. 409-432

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