Estimation for the Exponentiated Exponential Distribution Based on Multiply Type-II Censored Samples

- Journal title : Communications for Statistical Applications and Methods
- Volume 12, Issue 3, 2005, pp.643-652
- Publisher : The Korean Statistical Society
- DOI : 10.5351/CKSS.2005.12.3.643

Title & Authors

Estimation for the Exponentiated Exponential Distribution Based on Multiply Type-II Censored Samples

Kang Suk-Bok; Park Sun-Mi;

Kang Suk-Bok; Park Sun-Mi;

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

1.

Estimation of the Exponential Distributions based on Multiply Progressive Type II Censored Sample,Lee, Kyeong-Jun;Park, Chan-Keun;Cho, Young-Seuk;

2.

AMLEs for Rayleigh Distribution Based on Progressive Type-II Censored Data,Seo, Eun-Hyung;Kang, Suk-Bok;

3.

The exponentiated extreme value distribution,Cho, Young-Seuk;Kang, Suk-Bok;Han, Jun-Tae;

Journal of the Korean Data and Information Science Society, 2009. vol.20. 4, pp.719-731

1.

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