Inference Based on Generalized Doubly Type-II Hybrid Censored Sample from a Half Logistic Distribution

Title & Authors
Inference Based on Generalized Doubly Type-II Hybrid Censored Sample from a Half Logistic Distribution
Lee, Kyeong-Jun; Park, Chan-Keun; Cho, Young-Seuk;

Abstract
Chandrasekar et al. (2004) introduced a generalized Type-II hybrid censoring. In this paper, we propose generalized doubly Type-II hybrid censoring. In addition, this paper presents the statistical inference on the scale parameter for the half logistic distribution when samples are generalized doubly Type-II hybrid censoring. The approximate maximum likelihood(AMLE) method is developed to estimate the unknown parameter. The scale parameter is estimated by the AMLE method using two di erent Taylor series expansion types. We compar the AMLEs in the sense of the mean square error(MSE). The simulation procedure is repeated 10,000 times for the sample size n = 20; 30; 40 and various censored samples. The $\small{AMLE_I}$ is better than $\small{AMLE_{II}}$ in the sense of the MSE.
Keywords
Approximate maximum likelihood estimator;generalized doubly Type-II hybrid censored sample;half logistic distribution;
Language
English
Cited by
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1.
An Estimation of the Entropy for a Rayleigh Distribution Based on Doubly-Generalized Type-II Hybrid Censored Samples, Entropy, 2014, 16, 7, 3655
2.
Estimation of the half-logistic distribution based on multiply Type I hybrid censored sample, Journal of the Korean Data and Information Science Society, 2014, 25, 6, 1581
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