Moments of progressively type-II censored order statistics from the complementary exponential geometric distribution and associated inference

被引:0
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作者
Bander Al-Zahrani
Areej M. AL-Zaydi
机构
[1] King Abdulaziz University,Department of Statistics
[2] Taif University,Department of Mathematics and Statistics
关键词
Best linear unbiased estimators; Best linear unbiased predictors; Complementary exponential-geometric distribution; Single moments; Product moments; Recurrence relations;
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摘要
In this article, we establish some recurrence relations for both single and product moments of progressively Type-II right censored order statistics from the complementary exponential-geometric distribution. For a particular case, these relations are reduced to the corresponding results for the usual order statistics due to Balakrishnan et al. (J Stat Comput Simul 85(11): 2187–2201, 2015). Then we use these moments to obtain the best linear unbiased estimators of the scale and location-scale parameters of the complementary exponential-geometric distribution based on progressively Type-II right censored samples. Further, we discuss the best linear unbiased predictors of future failure times. Finally, an example is presented to show the application of our results.
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页码:1052 / 1065
页数:13
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