[1] Boland, P.J., Samaniego, F.J. and Vestrup, E.M. (2003). Linking dominations and signatures in network reliability theory, In: Lindquist, B.H., Doksum, K.A. (Eds) Mathematical and statistical methods in reliability. World Scientific, Singapore, 89-103.
[2] Samaniego, F.J. (1985). On closure of the IFR class under formation of coherent systems, IEEE Transactions on Reliability, 34, 69-72.
[3] Zarezadeh, S., Mohammadi, L. and Balakrishnan, N. (2018). On the joint signature of several coherent systems with some shared components, European Journal of Operational Research, 264(3), 1092-1100.
[4] Navarro, J., Balakrishnan, N. and Samaniego. F.J. (2008). Mixture representations of residual lifetimes of used systems. Journal of Applied Probability, 45, 1097-1112.
[5] Eryilmaz, S. (2014). A study on reliability of coherent systems equipped with a cold standby component, Metrika, 77, 349-359.
[6] Gertsbakh, I., Rubinstein, R., Shpungin, Y. and Vaisman, R. (2014). Permutational methods for performance analysis of stochastic flow networks, Probability in the Engineering and Informational Sciences, 28(1), 21-38.
[7] Patelli, E., Feng, G., Coolen, F.P. and Coolen-Maturi, T. (2017). Simulation methods for system reliability using the survival signature, Reliability Engineering & System Safety, 167, 327-337.
[9] Zarezadeh, S. and Asadi, M. (2013). Network reliability modeling under stochastic process of component failures, IEEE Transactions on Reliability, 62(4), 917-929.
[10] Nakagawa, T. (2011). Stochastic Processes: With Applications to Reliability Theory, New York: Springer-Verlag.
[11] Arnold, B.C., Balakrishnan, N. and Nagaraja, H.N. (2011). Records, Wiley.
[12] Gupta, R. C. and Kirmani, S.N.U.A. (1988). Closure and monotonicity properties of nonhomogeneous Poisson processes and record values, Probability in the Engineering and Informational Sciences, 2, 475-484.
[13] Balakrishnan, N. and Asadi, M. (2012). A proposed measure of residual life of live components of a coherent system, IEEE Transactions on Reliability, 61(1), 41-49.
[14] Bairamov, I. and Arnold, B.C. (2008). On the residual life lengths of the remaining components in a (
n - k + 1)-out-of-
n system,
Statistics & Probability Letters,
78, 945-952.
[15] Gurler, S. (2012). On residual lifetimes in sequential (n-k+1)-out-of-n systems. Statistical Papers, 53(1), 23-31.
[16] Balakrishnan, N., Barmalzan, G. and Haidari, A. (2014). Stochastic orderings and ageing properties of residual life lengths of live components in (n-k+ 1)-out-of-n systems, Journal of Applied Probability, 51(1), 58-68.
[17] Balakrishnan, N., Barmalzan, G. and Haidari, A. (2016). Multivariate stochastic comparisons of multivariate mixture models and their applications, Journal of Multivariate Analysis, 145, 37-43.
[18] Kelkinnama, M. and Asadi, M. (2014). Stochastic properties of components in a used coherent system, Methodology and Computing in Applied Probability, 16(3), 675-691.
[19] Kelkin Nama, M., Asadi, M. and Zhang, Z. (2013). On the residual life lengths of the remaining components in a coherent system, Metrika, 76(7), 979-996.
[20] Shaked, M. and Shanthikumar, J.G. (2007). Stochastic Orders, New York: Springer-Verlag.
[21] Rao, M., Chen, Y., Vemuri, B.C. and Wang, F. (2004). Cumulative residual entropy: A new measure of information, IEEE Transactions on Information Theory, 50(6), 1220-1228.
[22] Elperin, T., Gertsbakh, I. and Lomonosov, M. (1991). Estimation of network reliability using graph evolution models, IEEE Transactions on Reliability, 40(5), 572-581.
[23] Khaledi, B.E. and Shaked, M. (2010). Stochastic comparisons of multivariate mixtures. Journal of Multivariate Analysis, 101(10), 2486-2498.
[24] Belzunce, F., Mercader, J.A., Ruiz, J.M. and Spizzichino, F. (2009). Stochastic comparisons of multivariate mixture models. Journal of Multivariate Analysis, 100(8), 1657-1669.
[25] Ahmadi, J. and Arghami, N.R. (2001). Some univariate stochastic orders on record values. Communications in Statistics - Theory and Methods, 30, 69-74.