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

• Autorzy: Housila P. Singh , Vishal Mehta
• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Słowa kluczowe

EN

Estimators; Sampling survey

PL

Estymatory; Badania reprezentacyjne

• Czasopismo: Statistics in Transition
• Rocznik: 2017
• Tom: 18
• Numer: nr 1
• Strony: 53--74

Twórcy

autor

Housila P. Singh

• Vikram University, India

autor

Vishal Mehta

• Indian Statistical Institute (ISI), North-East Centre, India

Bibliografia

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• SINGH, H. P., MEHTA, V., (2014a). Linear shrinkage estimator of scale parameter of Morgenstern type bivariate logistic distribution using ranked set sampling. Model Assisted Statistics and Applications (MASA), 9, pp. 295-307.
• SINGH, H. P., MEHTA, V., (2014b). An Alternative Estimation of the Scale Parameter for Morgenstern Type Bivariate Log-Logistic Distribution Using Ranked Set Sampling. Journal of Reliability and Statistical Studies, 7 (1), pp.19-29.
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