The Estimation of the Right Censored Exponential Distribution Parameter

Document Type : Scientific Research

Authors

Abstract

In this article, the generalized progressive type II censoring design (right censoring) is introduced. Then the likelihood function for such censored variables is derived and it is precisely determined for the exponential distribution case. The derived maximum likelihood estimator has no closed form, so the estimate is achieved by the numerical "False Position" method. Finally, a suitable confidence interval for the parameter of the exponential distribution is constructed in the form of a theorem.

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[1] Aggarwala, R., Balakrishnan, N. (1998). Some properties of progressive censored order statistics from arbitrary and uniform distribiutions with applications to inference and simulation. Journal of statistical planning and inference, 70, 35-49.
[2] Balakrishnan, N., Cramer, E., kamps, U., sckenk, N. (2001). Progressive type II censored order statistics from exponential distributions. Statistics, 35, 537-556.
[3] Balakrishnan, N., Sandhu, R.A. (1995). A simple simulational algorithm for generating progressive type II censored samples .The American Statistician, Vol. 49, No.2. pp.229-230.
[4] Balakrishnan, N., Sandhu, R.A. (1996). Best linear unbiased and maximum likelihood estimation for exponential distribution under general progressive type II censored samples. Sankhya B, 58, 1-9.
[5] Bandyopadhyay, U., Chattopadhyay, G., (1995). Progressive censoring under inverse sampling for nonparametric two-sample problems. Sequential Anal., 14, 1-28.
[6] Davis, H.T., Feldstein, M.L. (1979). The generalized pareto law as a model for progressively censored survival data. Biometrica, 66, 299-306 .
[7] Fernandez, A.J. (2004). On estimating exponential parameters with general type II progressive censoring. Journal of statistical planning and inference, 121, 135- 147.
[8] Guilbaud, O. (2001). Exact non-parametric confidence intervals for quantiles with progressive type II censoring. Scand. J. Statis, 28, 699-713.
[9] Halperin, M., Hamdy, M.I., Thall, P.F. (1989). Distribution - free confiedence interval for a parameter of Wilcoxon-Mann-Whitney type for ordered categories and progressive censoring. Biometrics, 45, 509-521.
[10] Sen, P.K. (1979). Weak convergence of som quantile processes arising in progressively censored tests. Ann. Statist, 7, 414-431.
[11] Viveros, R., Balakrishnan, N. (1994). Interval estimation of life characteristics from progressively censored samples. Technometrics, 36, 84-91.
[12] Yuen, H.K., Tse, S.K. (1996). Parameters-estimation for Weibull distributed lifetimes under progressive censoring with random removals. J. Statistics. Comput. Simulation, 55, 57-71.