Improved Estimation of the Scale Parameter for Log-Logistic Distribution Using Balanced Ranked Set Sampling

Singh Housila P. () and Mehta Vishal ()
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Singh Housila P.: School of Studies in Statistics, Vikram University, Ujjain, 456010, Madhya Pradesh, India
Mehta Vishal: Indian Statistical Institute (ISI), North-East Centre, Tezpur, 784028, Assam, India

Statistics in Transition New Series, 2017, vol. 18, issue 1, 53-74

Abstract: In this article we have suggested some improved estimators of a scale parameter of log-logistic distribution (LLD) under a situation where the units in a sample can be ordered by judgement method without any error. We have also suggested some linear shrinkage estimator of a scale parameter of LLD. Efficiency comparisons are also made in this work.

Keywords: minimum mean squared error estimator; shrinkage estimator; log-logistic distribution; best linear unbiased estimator; median ranked set sample; 62G30; 62H12 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:18:y:2017:i:1:p:53-74:n:2

DOI: 10.21307/stattrans-2016-057

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