Improved Estimation of the Scale Parameter for Log-Logistic Distribution Using Balanced Ranked Set Sampling
Improved Estimation of the Scale Parameter for Log-Logistic Distribution Using Balanced Ranked Set Sampling
Author(s): Housila P. Singh, Vishal MehtaSubject(s): Economy, National Economy, Public Finances, Socio-Economic Research
Published by: Główny Urząd Statystyczny
Keywords: minimum mean squared error estimator; shrinkage estimator; log-logistic distribution; best linear unbiased estimator; median ranked set sample; AMS Subject Classification: 62G30; 62H12
Summary/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.
Journal: Statistics in Transition. New Series
- Issue Year: 18/2017
- Issue No: 1
- Page Range: 53-74
- Page Count: 22
- Language: English