Recurrence relations for moments of progressively Type-II censored order statistics from a Pareto distribution with fixed and binomial removals

Document Type : Original Scientific Paper

Authors

Department of Statistics, Yazd University, Yazd, Iran

Abstract

In this paper, some recurrence relations are presented for the single and product moments of progressively Type-II right censored order statistics from a Pareto distribution. These relations are obtained for a progressively censored sample from Pareto distribution with fixed and random removals, where in the random case, the number of units removed at each failure time follows a binomial distribution. In addition,Thomas-Wilson’s Mixture Formula for Moments are obtained with with fixed and random removals. Finally, a numerical study is carried out to compare real and simulation results based on biases and MSEs of the expected termination time.

Keywords


Arnold, B.C. and Balakrishnan, N. (1989). Relations, Bounds and Approximations for Order Statistics. Lecture Notes in Statistics 53, New York, Springer-Verlag.
Balakrishnan, N. and Aggarwala, R. (2000). Progressive Censoring: Theory, Methods and Applications. Boston, Birkhäuser.
Balakrishnan, N. and Sultan, K.S. (1998). Recurrence relations and identities for moments of order statistics. In: Balakrishnan, N. and Rao, C.R. Handbook of Statistics, Vol. 16: Order Statistics: Theory and Methods. Amsterdam: North-Holland, 149–228.
Thomas, D.R. and Wilson, W.M. (1972). Linear order statistic estimation for the two parameter Weibull and extreme value distributions from Type-II progressively censored samples. Technometrics, 14, 679–691.
Tse, S.K., Yang, C.Y. and Yuen, H.K. (2000). Statistical analysis of Weibull distributed lifetime data under Type-II progressive censoring with binomial removals. Journal of Applied Statistics, 27(8), 1033–1043.
Weian, Y., Yimin, S., Baowei, S. and Zhaoyong, M. (2011). Statistical analysis of generalized exponential distribution under progressive censoring with binomial removals. Journal of Systems Engineering and Electronics, 22(4), 707–714.
Wu, S.J. and Chang, C.T. (2003). Censoring with random removals. Journal of Applied Statistics, 30(2), 163–172.
Wu, C.C., Wu, S.F. and Chan, H.Y. (2006). MLE and the estimated expected test time for the two-parameter Gompertz distribution under progressive censoring with binomial removals. Applied Mathematics and Computation, 181(1), 1657–1670.
Wu, S.J., Chen, Y.J. and Chang, C.T. (2007). Statistical inference based on progressively censored samples with random removals from the Burr type XII distribution. Journal of Statistical Computation and Simulation, 77(1), 19–27.
Xiang, L.M. and Tse, S.K. (2005). Maximum likelihood estimation in survival studies under progressive interval censoring with random removals. Journal of Biopharmaceutical Statistics, 15(6), 981–991.
Yuen, H.K. and Tse, S.K. (1996). Parameters estimation for Weibull distributed lifetimes under progressive censoring with random removals. Journal of Statistical Computation and Simulation, 55(1), 57–71.
Zeinab, H.A. (2008). Bayesian inference for the Pareto lifetime model under progressive censoring with binomial removals. Journal of Applied Statistics, 35(11), 1203–1217.