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Estimation for the Exponentiated Exponential Distribution Based on Multiply Type-II Censored Samples
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 Title & Authors
Estimation for the Exponentiated Exponential Distribution Based on Multiply Type-II Censored Samples
Kang Suk-Bok; Park Sun-Mi;
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 Abstract
It has been known that the exponentiated exponential distribution can be used as a possible alternative to the gamma distribution or the Weibull distribution in many situations. But the maximum likelihood method does not admit explicit solutions when the sample is multiply censored. So we derive the approximate maximum likelihood estimators for the location and scale parameters in the exponentiated exponential distribution that are explicit function of order statistics. We also compare the proposed estimators in the sense of the mean squared error for various censored samples.
 Keywords
Approximate maximum likelihood estimator;exponentiated exponential distribution;multiply Type-II censored sample;
 Language
English
 Cited by
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The exponentiated extreme value distribution,;;;

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3.
Estimation of the Exponential Distributions based on Multiply Progressive Type II Censored Sample,;;;

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Estimation of the exponential distribution based on multiply Type I hybrid censored sample,;;;

Journal of the Korean Data and Information Science Society, 2014. vol.25. 3, pp.633-641 crossref(new window)
1.
Estimation of the Exponential Distributions based on Multiply Progressive Type II Censored Sample, Communications for Statistical Applications and Methods, 2012, 19, 5, 697  crossref(new windwow)
2.
Estimation of the exponential distribution based on multiply Type I hybrid censored sample, Journal of the Korean Data and Information Science Society, 2014, 25, 3, 633  crossref(new windwow)
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