Estimation in a Half-Triangle Distribution Based on Multiply Type-II Censored Samples
Suk-Bok Kang
Abstract
Suk-Bok Kang
Abstract
For multiply Type-II censored samples from a half-triangle distribution, the maximum likelihood method does not admit explicit solutions. In this case, we propose some explicit estimators of the location parameter in the half-triangle distribution by the approximate maximum likelihood methods. We compare the proposed estimators in the sense of the mean squared error for various censored samples.
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For multiply Type-II censored samples from a half-triangle distribution, the maximum likelihood method does not admit explicit solutions. In this case, we propose some explicit estimators of the location parameter in the half-triangle distribution by the approximate maximum likelihood methods. We compare the proposed estimators in the sense of the mean squared error for various censored samples.
Key concepts: Estimator, Mathematics, Statistics, Maximum likelihood, Distribution (mathematics), Type (biology), Estimation, Maximum likelihood sequence estimation