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Paper Information

Journal:   JOURNAL OF STATISTICAL SCIENCES   SPRING-SUMMER 2015 , Volume 9 , Number 1; Page(s) 15 To 41.
 
Paper: 

INFERENCE FOR THE HALF-LOGISTIC DISTRIBUTION UNDER PROGRESSIVELY TYPE II HYBRID CENSORED SAMPLES

 
 
Author(s):  ASGHARZADEH AKBAR, AZIZPOUR MINA, VALIOLLAHI REZA
 
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Abstract: 

One of the drawbacks of the type II progressive censoring scheme is that the length of the experiment can be very large. Because of that, recently a new censoring scheme named as the type II progressively hybrid censored scheme has received considerable interest among the statisticians. In this paper, the statistical inference for the half-logistic distribution is discussed based on the progressively type II hybrid censored samples. The maximum likelihood estimator, the approximate maximum likelihood estimator and the Bayes estimator of parameter using Lindley approximation and MCMC method are obtained. Asymptotic confidence intervals, Bootstrap confidence intervals and Bayesian credible intervals are obtained. Different point and interval estimators are compared using Monte Carlo simulation. A real data set is presented for illustrative purposes.

 
Keyword(s): MAXIMUM LIKELIHOOD ESTIMATOR, BAYES ESTIMATOR, ASYMPTOTIC CONFIDENCE INTERVAL, TYPE, II PROGRESSIVELY HYBRID CENSORING
 
 
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APA: Copy

ASGHARZADEH, A., & AZIZPOUR, M., & VALIOLLAHI, R. (2015). INFERENCE FOR THE HALF-LOGISTIC DISTRIBUTION UNDER PROGRESSIVELY TYPE II HYBRID CENSORED SAMPLES. JOURNAL OF STATISTICAL SCIENCES, 9(1), 15-41. https://www.sid.ir/en/journal/ViewPaper.aspx?id=456669



Vancouver: Copy

ASGHARZADEH AKBAR, AZIZPOUR MINA, VALIOLLAHI REZA. INFERENCE FOR THE HALF-LOGISTIC DISTRIBUTION UNDER PROGRESSIVELY TYPE II HYBRID CENSORED SAMPLES. JOURNAL OF STATISTICAL SCIENCES. 2015 [cited 2021October22];9(1):15-41. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=456669



IEEE: Copy

ASGHARZADEH, A., AZIZPOUR, M., VALIOLLAHI, R., 2015. INFERENCE FOR THE HALF-LOGISTIC DISTRIBUTION UNDER PROGRESSIVELY TYPE II HYBRID CENSORED SAMPLES. JOURNAL OF STATISTICAL SCIENCES, [online] 9(1), pp.15-41. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=456669.



 
 
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