2005•Journal of the Korean Data and Information Science SocietyRequires access

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

Suk-Bok Kang, Young‐Suk Cho, Jun‐Tae Han

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Abstract

In this paper, we derive the approximate maximum likelihood estimators of the scale parameter and location parameter of the double exponential distribution based on Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples.

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What this paper is about

In this paper, we derive the approximate maximum likelihood estimators of the scale parameter and location parameter of the double exponential distribution based on Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we derive the approximate maximum likelihood estimators of the scale parameter and location parameter of the double exponential distribution based on Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples.

Key concepts: Estimator, Mathematics, Statistics, Exponential distribution, Scale parameter, Exponential function, Maximum likelihood, Mean squared error

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