[1] Asadi, M. and Zohrevand, Y., 2007. On the dynamic cumulative residual entropy. Journal of Statistical
Planning and Inference, 137(6), pp. 1931-1941. doi: 10.1016/j.jspi.2006.06.035
[2] Balakrishnan, N., Buono, F. and Longobardi, M., 2022. On weighted extropies. Communications in
Statistics-Theory and Methods, 51(18), pp. 6250-6267. doi: 10.1080/03610926.2020.1860222
[3] Belis, M. and Guiasu, S., 1968. A quantitative-qualitative measure of information in cybernetic systems (Corresp.). IEEE Transactions on Information Theory, 14(4), pp. 593-594. doi:
10.1109/TIT.1968.1054185
[4] Cover, T.M., 1999. Elements of information theory. John Wiley and Sons. doi: 10.1002/047174882X
[5] Di Crescenzo, A. and Longobardi, M., 2006. On weighted residual and past entropies. Scientiae Mathematicae Japonicae, 64(1), pp. 255-266. doi: 10.32219/isms.64.2-255
[6] Di Crescenzo, A. and Longobardi, M., 2009. On cumulative entropies. Journal of statistical planning
and inference, 139(12), pp. 4072-4087. doi: 10.1016/j.jspi.2009.05.038
[7] Hashempour, M., Mohammadi, M., Jahanshahi, S.M.A. and Khammar, A.H., 2024. Modified cumulative extropies of doubly truncated random variables. Sankhya B, 86(2), pp. 558-585. doi:
10.1007/s13571-024-00328-w
[8] Hashempour, M., Mohammadi, M. and Kamari, O., 2025. On weighted version of dynamic residual
inaccuracy measure using extropy in order statistics with applications in model selection. Statistical
Papers, 66(4), pp. 1-28. doi: 10.1007/s00362-025-01696-9
[9] Kazemi, M.R., Hashempour, M. and Longobardi, M., 2022. Weighted cumulative past extropy and its
inference. Entropy, 24(10), pp. 1444-1444. doi: 10.3390/e24101444
[10] Kamari, O. and Buono, F., 2021. On extropy of past lifetime distribution. Ricerche di Matematica,
70(1), pp. 505-515. doi: 10.1007/s11587-020-00488-7
[11] Khorashadizadeh, M., 2019. A Quantile approach to the interval Shannon entropy. Journal of Statistical Research of Iran JSRI, 15(2), pp. 317-333. doi: 10.29252/jsri.15.2.317
[12] Lad, F., Sanfilippo, G. and Agró, G., 2015. Extropy: Complementary dual of entropy. Statistical
Science, 30(1), pp. 40-58. doi: 10.1214/14-STS430
[13] Marshall, A.W., Olkin, I. and Arnold, B.C., 1979. Inequalities: theory of majorization and its applications, Academic Press, New York. doi: 10.1007/978-0-387-68276-1
[14] Misagh, F., Panahi, Y., Yari, G.H. and Shahi, R., 2011. Weighted cumulative entropy and its
estimation. In 2011 ieee international conference on quality and reliability, pp. 477-480. doi:
10.1109/ICQR.2011.6031765
[15] Mohammadi, M. and Hashempour, M., 2024. On weighted version of dynamic cumulative residual
inaccuracy measure based on extropy. Statistical Papers, 65(7), pp. 4599-4629. doi: 10.1007/s00362-
024-01568-8
[16] Mohammadi, M., Hashempour, M. and Kamari, O., 2024. On the dynamic residual measure of inaccuracy based on extropy in order statistics. Probability in the Engineering and Informational Sciences,
38(3), pp. 481-502. doi: 10.1017/S0269964823000268
[17] Nair, R.D. and Sathar, E.A., 2020. On dynamic failure extropy. Journal of the Indian Society for
Probability and Statistics, 21(1), pp. 287-313. doi: 10.1007/s41096-020-00083-x
[18] Shaked, M. and Shanthikumar, J.G. eds., 2007. Stochastic orders. Springer, New York. doi:
10.1007/978-0-387-34675-5
[19] Shannon, C.E., 1948. A mathematical theory of communication. The Bell system technical journal,
27(3), pp. 379-423. doi: 10.1002/j.1538-7305.1948.tb01338.x
