(2017). Statistical inferences based on an adaptive progressive type-II censoring from exponentiated exponential distribution. test, 25(4), 393-399. doi: 10.1016/j.joems.2017.06.001
. "Statistical inferences based on an adaptive progressive type-II censoring from exponentiated exponential distribution". test, 25, 4, 2017, 393-399. doi: 10.1016/j.joems.2017.06.001
(2017). 'Statistical inferences based on an adaptive progressive type-II censoring from exponentiated exponential distribution', test, 25(4), pp. 393-399. doi: 10.1016/j.joems.2017.06.001
Statistical inferences based on an adaptive progressive type-II censoring from exponentiated exponential distribution. test, 2017; 25(4): 393-399. doi: 10.1016/j.joems.2017.06.001

Statistical inferences based on an adaptive progressive type-II censoring from exponentiated exponential distribution

Journal of the Egyptian Mathematical Society
Volume 25, Issue 4, 2017, Pages 393-399    PDF (346.97 K)
DOI: 10.1016/j.joems.2017.06.001
Abstract
In this paper, the estimation problem (point and interval) is studied under the exponentiated exponential (EE) distribution based on an adaptive progressive type-II censoring scheme. In point estimation, the maximum likelihood estimates (MLE s) and Bayes estimates (BE s), based on squared error (SE) and linear exponential (LINEX) loss functions, are computed. Also, the approximate confidence intervals for the parameters of EE distribution are obtained. A comparison study is made between the BEs and MLEs using the estimated risks (ER
s) criterion. Finally, point and interval estimations of all parameters are studied based on a generated adaptive type-II progressive censoring sample from a real data set as illustrative
example.
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