2008•Communications for Statistical Applications and MethodsRequires access

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

Jun‐Tae Han, Suk-Bok Kang

Open publisher page 8 citations

Abstract

In this paper, we derive the approximate maximum likelihood estimators of the scale parameter and the location parameter in a double Rayleigh distribution based on multiply 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 the location parameter in a double Rayleigh distribution based on multiply 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 8 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 the location parameter in a double Rayleigh distribution based on multiply 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, Rayleigh distribution, Statistics, Scale parameter, Maximum likelihood, Mean squared error, Type (biology)

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