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

- Journal title : Communications for Statistical Applications and Methods
- Volume 18, Issue 5, 2011, pp.645-655
- Publisher : The Korean Statistical Society
- DOI : 10.5351/CKSS.2011.18.5.645

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;

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 is better than 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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2.

Estimation of the half-logistic distribution based on multiply Type I hybrid censored sample,;;;

3.

Estimation for the Rayleigh Distribution Based on Multiply Type I Hybrid Censored Samples,;;

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1.

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