1997•Journal of the Korean Data and Information Science SocietyRequires access

Estimation for Exponential Distribution under General Progressive Type-II Censored Samples

Suk-Bok Kang, Young‐Suk Cho

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Abstract

By assuming a general progressive Type-II censored sample, we propose the minimum risk estimator (MRE) and the approximate maximum likelihood estimator (AMLE) of the scale parameter of the one-parameter exponential distribution. An example is given to illustrate the methods of estimation discussed in this paper.

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What this paper is about

By assuming a general progressive Type-II censored sample, we propose the minimum risk estimator (MRE) and the approximate maximum likelihood estimator (AMLE) of the scale parameter of the one-parameter exponential distribution. An example is given to illustrate the methods of estimation discussed in this paper.

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Available abstract

By assuming a general progressive Type-II censored sample, we propose the minimum risk estimator (MRE) and the approximate maximum likelihood estimator (AMLE) of the scale parameter of the one-parameter exponential distribution. An example is given to illustrate the methods of estimation discussed in this paper.

Key concepts: Mathematics, Estimator, Exponential distribution, Statistics, Applied mathematics, Maximum likelihood, Scale parameter, Exponential function

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