Characterizations on the basis of cumulative residual entropy of sequential order statistics

Document Type : Original Scientific Paper

Authors

1 Department of Statistics, School of Basic Sciences, University of Hormozgan, Bandar Abbas, Iran

2 Department of Statistics, School of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

Abstract

This article deals with the problem of characterizing the parent distribution on the basis of the cumulative residual entropy of sequential order statistics under a conditional proportional hazard rates model. It is shown that the equality of the cumulative residual entropy in the first sequential order statistics determines uniquely the parent distribution. Subsequently, we characterize the Weibull distribution on the basis of the ratio of the cumulative residual entropy of first sequential order statistics to the corresponding mean. Also, we consider characterizations based on the dynamic cumulative residual entropy and derive some bounds for the cumulative residual entropy of residual lifetime of the sequential order statistics.

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Main Subjects


Arnold, B.C., Balakrishnan, N. and Nagaraja, H.N. (2008). A First Course in Order Statistics. Classic Edition, SIAM, Philadelphia.
Asadi, M. and Zohrevand, Y. (2007). On the dynamic cumulative residual entropy. Journal of Statistical Planning and Inference, 137, 931–1941.
Balakrishnan, N., Kamps, U. and Kateri, M. (2012). A sequential order statistics approach to step-stress testing. Annals of the Institute of Statistical Mathematics, 64(2), 302–318.
Baratpour, S., Ahmadi, J. and Arghami, N.R. (2007). Some characterization based on entropy of order statistics and record values. Communications in Statistics-Theory and Methods, 36, 47–57.
Baratpour, S., Ahmadi, J. and Arghami, N.R. (2008). Some characterization based on Renyi entropy of order statistics and record values. Journal of Statistical Planning and Inference, 138, 2544–2551.
Billinton, R. and Allan, R. (1992). Reliability of Engineering Systems: Concepts and Techniques. Second edition, Springer-Verlag, New York.
Cover, T.M. and Thomas, J.A. (2006). Elements of Information Theory. Second edition, John Wiley & Sons, Inc., Hoboken, New York.
Cramer, E. and Kamps, U. (1996). Sequential order statistics and k-out-of-n$ systems with sequentially adjusted failure rates. Annals of the Institute of Statistical Mathematics, 48(3), 535–549.
Cramer, E. and Kamps, U. (2001a). Estimation with Sequential Order Statistics from exponential distributions. Annals of the Institute of Statistical Mathematics, 53(2), 307–324.
David, H.A. and Nagaraja, H.N. (2003). Order Statistics. 3rd edition. New York: John Wiley & Sons.
Ebrahimi, N. (1996). How to measure uncertainty in the residual life distributions. Sankhya: The Indian Journal of Statistics, 58, 48–57.
Esmailian, M. and Doostparast, M. (2014). Estimation based on sequential order statistics with random removals. Probability and Mathematical Statistics, 34(1), 81–95.
Hashempour, M. and Doostparast, M. (2016a). Bayesian inference on multiply sequential order statistics from heterogeneous exponential populations with GLR test for homogeneity. Communications in Statistics-Theory and Methods, 46(16), 8086–8100.
Hashempour, M. and Doostparast, M. (2016b). Statistical evidences in sequential order statistics arising from a general family of lifetime distributions. Journal of the Turkish Statistical Association, 9(1), 29–41.
Hashempour, M. (2017). Classical, Bayesian and Evidential Inferences Based on Sequential Order Statistics. Ph.D. thesis, in Mathematical Statistics, Department of Statistics, Ferdowsi University of Mashhad, Mashhad, Iran.
Kamps, U. (1998). Characterizations of distributions by recurrence relations and identities for moments of order statistics. In N. Balakrishnan and C.R. Rao, editors, Handbook of Statistics, Advances in Reliability, volume 16, Amsterdam: Elsevier, 291–311.
Kamps, U. (1995a). A Concept of Generalized Order Statistics. Teubner, Stuttgart.
Kamps, U. (1995b). A concept of generalized order statistics. Journal of Statistical Planning and Inference, 48, 1–23.
Kumar, V. and Taneja, H.C. (2011). Some characterization results on generalized cumulative residual entropy measure. Statistics and Probability Letters, 81(8), 1072–1077.
Navarro, J., Aguila, Y. and Asadi, M. (2010). Some new results on the cumulative residual entropy. Journal of Statistical Planning and Inference, 140, 310–1322.
Rao, M. (2005). More on a new concept of entropy and information. Journal of Theoretical Probability, 18, 967–981.
Rao, M., Chen, Y., Vemuri, B.C. and Wang, F. (2004). Cumulative residual entropy: a new measure of information. IEEE Transactions on Information Theory, 6, 1220–1228.
Shannon, C.E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27, 379–432.
Sunoj, S.M. and Linu, M.N. (2012). Dynamic cumulative residual Renyi's entropy. Statistics, 46(1), 41–56.