Estimation for the Double Rayleigh Distribution Based on Multiply Type-II Censored Samples
Jun‐Tae Han, Suk-Bok Kang
Abstract
Jun‐Tae Han, Suk-Bok Kang
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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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)