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Improvement Over General And Wider Class of Estimators Using Ranked Set Sampling
[Full Text]
AUTHOR(S)
V. L. Mandowara, Nitu Mehta (Ranka)
KEYWORDS
Key Words: Ranked set sampling, General and wider class of estimator, Auxiliary variable, Mean square error, Efficiency.
ABSTRACT
Abstract- In this paper, Improvement over general and wider class of estimators of finite population means using ranked set sampling is investigated. Ranked set sampling (RSS) was first suggested to increase the efficiency of estimator of the population mean. The first order approximation to the bias and mean square error (MSE) of the investigated estimators are obtained. Theoretically, it is shown that these suggested estimators are more efficient than the general and wider class of estimators in simple random sampling.
REFERENCES
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