[
[1] S. Abe, Y. Okamoto (Eds.), Nonextensive Statistical Mechanics and Its Applications, Springer-Verlag Berlin Heidelberg, 2001.10.1007/3-540-40919-X
]Search in Google Scholar
[
[2] S. Abe, N. Suzuki, Itineration of the Internet over nonequilibrium stationary states in Tsallis statistics, Physical Review E 67 (2003), 016106.10.1103/PhysRevE.67.01610612636563
]Search in Google Scholar
[
[3] K.K. Ajith, E.I. Abdul Sathar, Some results on dynamic weighted Varma’s entropy and its applications, American Journal of Mathematical and Management Sciences 39 (2020), 90–98.10.1080/01966324.2019.1642817
]Search in Google Scholar
[
[4] B.C. Arnold, N. Balakrishnan, H.N. Nagaraja, Records, John Wiley & Sons, New York, 1998.10.1002/9781118150412
]Search in Google Scholar
[
[5] A.H. Darooneh, C. Dadashinia, Analysis of the spatial and temporal distributions between successive earthquakes: Nonextensive statistical mechanics viewpoint, Physica A 387 (2008), 3647–3654.10.1016/j.physa.2008.02.050
]Search in Google Scholar
[
[6] A. Di Crescenzo, P. Di Gironimo, S. Kayal, Analysis of the past lifetime in a replacement model through stochastic comparisons and differential entropy, Mathematics 8 (2020), 1203.10.3390/math8081203
]Search in Google Scholar
[
[7] A. Di Crescenzo, M. Longobardi, Entropy-based measure of uncertainty in past lifetime distributions, J. Appl. Probab. 39 (2002), 434–440.10.1017/S002190020002266X
]Search in Google Scholar
[
[8] A. Di Crescenzo, M. Longobardi, A measure of discrimination between past lifetime distributions, Statist. Probab. Lett. 67 (2004), 173–182.10.1016/j.spl.2003.11.019
]Search in Google Scholar
[
[9] N. Ebrahimi, How to measure uncertainty in the residual lifetime distribution, Sankhyã A 58 (1996), 48–56.
]Search in Google Scholar
[
[10] N. Ebrahimi, S.N.U.A. Kirmani, A measure of discrimination between two residual lifetime distributions and its applications, Ann. Inst. Statist. Math. 48 (1996), 257–265.10.1007/BF00054789
]Search in Google Scholar
[
[11] N. Ebrahimi, F. Pellerey, New partial ordering of survival functions based on the notion of uncertainty, J. Appl. Probab. 32 (1995), 202–211.10.2307/3214930
]Search in Google Scholar
[
[12] M. Gell-Mann, C. Tsallis (Eds.), Nonextensive Entropy-Interdisciplinary Applications, Oxford University Press Inc., 2004.10.1093/oso/9780195159769.001.0001
]Search in Google Scholar
[
[13] T. Gkelsinis, A. Karagrigoriou, Theoretical aspects on measures of directed information with simulations, Mathematics 8 (2020), 587.10.3390/math8040587
]Search in Google Scholar
[
[14] Z.Q. Jiang, W. Chen, W.X. Zhou, Scaling in the distribution of intertrade durations of Chinese stocks, Physica A 387 (2008), 5818–5825.10.1016/j.physa.2008.06.039
]Search in Google Scholar
[
[15] V. Kumar, R. Rani, Quantile approach of dynamic generalized entropy (divergence) measure, Statistica 2 (2018), 105–126.
]Search in Google Scholar
[
[16] V. Kumar, H.C. Taneja, Some characterization results on generalized cumulative residual entropy measure, Statist. Probab. Lett. 81 (2011), 1072–1077.10.1016/j.spl.2011.02.033
]Search in Google Scholar
[
[17] C. Liu, C. Chang, Z. Chang, Maximum Varma entropy distribution with conditional value at risk constraints, Entropy 22 (2020), 663.10.3390/e22060663751719733286435
]Search in Google Scholar
[
[18] G. Malhotra, R. Srivastava, H.C. Taneja, Calibration of the risk-neutral density function by maximization of a two-parameter entropy, Physica A 513 (2019), 45–54.10.1016/j.physa.2018.08.148
]Search in Google Scholar
[
[19] A.K. Nanda, P. Paul, Some results on generalized past entropy, J. Statist. Plann. Inference 136 (2006), 3659–3674.10.1016/j.jspi.2005.01.006
]Search in Google Scholar
[
[20] A.K. Nanda, P.G. Sankaran, S.M. Sunoj, Rényi’s residual entropy: A quantile approach, Statist. Probab. Lett. 85 (2014), 114–121.10.1016/j.spl.2013.11.016
]Search in Google Scholar
[
[21] J. Navarro, Y. del Aguila, M. Asadi, Some new results on the cumulative residual entropy, J. Statist. Plann. Inference 140 (2010), 310–322.10.1016/j.jspi.2009.07.015
]Search in Google Scholar
[
[22] N. Oikonomou, A. Provata, U. Tirnakli, Nonextensive statistical approach to non-coding human DNA, Physica A 387 (2008), 2653–2659.10.1016/j.physa.2007.11.051
]Search in Google Scholar
[
[23] I. Panait, A weighted entropic copula from preliminary knowledge of dependence, An. Şt. Univ. Ovidius Constan¸ta, 26 (2018), 223–240.
]Search in Google Scholar
[
[24] V. Preda, C. B˘alc˘au, Entropy Optimization with Applications, Editura Academiei Romˆane, Bucure¸sti, 2011.
]Search in Google Scholar
[
[25] V. Preda, I. B˘ancescu, Evolution of non-stationary processes and some maximum entropy principles, Analele Universit˘a¸tii de Vest, Timi¸soara, Seria Matematic˘a-Informatic˘a LVI 2 (2018), 43–70.
]Search in Google Scholar
[
[26] V. Preda, S. Dedu, C. Gheorghe, New classes of Lorenz curves by maximizing Tsallis entropy under mean and Gini equality and inequality constraints, Physica A 436 (2015), 925–932.10.1016/j.physa.2015.05.092
]Search in Google Scholar
[
[27] V. Preda, S. Dedu, M. Sheraz, New measure selection for Hunt-Devolder semi-Markov regime switching interest rate models, Physica A 407 (2014), 350–359.10.1016/j.physa.2014.04.011
]Search in Google Scholar
[
[28] M.M. Sati, N. Gupta, On partial monotonic behaviour of Varma entropy and its application in coding theory, Journal of the Indian Statistical Association 53 (2015), 135-152.
]Search in Google Scholar
[
[29] R.-C. Sfetcu, Tsallis and Rényi divergences of generalized Jacobi polynomials, Physica A 460 (2016), 131–138.10.1016/j.physa.2016.04.017
]Search in Google Scholar
[
[30] M. Shaked, J.G. Shanthikumar, Stochastic Orders, Springer Science Business Media LLC, 2007.10.1007/978-0-387-34675-5
]Search in Google Scholar
[
[31] A.D. Soares, N.J. Moura Jr., M.B. Ribeiro, Tsallis statistics in the income distribution of Brazil, Chaos, Solitons & Fractals 88 (2016), 158–171.10.1016/j.chaos.2016.02.026
]Search in Google Scholar
[
[32] S.M. Sunoj, P.G. Sankaran, Quantile based entropy function, Statist. Probab. Lett. 82 (2012), 1049–1053.10.1016/j.spl.2012.02.005
]Search in Google Scholar
[
[33] A. Toma, Model selection criteria using divergences, Entropy 16 (2014), 2686–2698.10.3390/e16052686
]Search in Google Scholar
[
[34] A. Toma, A. Karagrigoriou, P. Trentou, Robust model selection criteria based on pseudodistances, Entropy 22 (2020), 304.10.3390/e22030304751676333286078
]Search in Google Scholar
[
[35] A. Toomaj, A. Di Crescenzo, Connections between weighted generalized cumulative residual entropy and variance, Mathematics 8 (2020), 1072.10.3390/math8071072
]Search in Google Scholar
[
[36] R. Trandafir, V. Preda, S. Demetriu, I. Mierlu¸s-Mazilu, Varma-Tsallis entropy: Properties and applications, Review of the Air Force Academy 2 (2018), 75–82.10.19062/1842-9238.2018.16.2.8
]Search in Google Scholar
[
[37] C. Tsallis, Possible generalization of Boltzmann-Gibbs statistics, J. Stat. Phys. 52 (1988), 479–487.10.1007/BF01016429
]Search in Google Scholar
[
[38] C. Tsallis, Introduction to Nonextensive Statistical Mechanics, Springer Science Business Media LLC, 2009.
]Search in Google Scholar
[
[39] R.S. Varma, Generalization of Rényi’s entropy of order α, Journal of Mathematical Sciences 1 (1966), 34–48.
]Search in Google Scholar
[
[40] L. Yan, D.-t. Kang, Some new results on the Rényi quantile entropy ordering, Statistical Methodology 33 (2016), 55–70.10.1016/j.stamet.2016.04.003
]Search in Google Scholar
