Handling Missing Data in Ranked Set Sampling by Carlos N. Bouza-Herrera

Handling Missing Data in Ranked Set Sampling by Carlos N. Bouza-Herrera

Author:Carlos N. Bouza-Herrera
Language: eng
Format: epub
Publisher: Springer Berlin Heidelberg, Berlin, Heidelberg


Hence, as the proposed method is more precise if G < 0.

This result allows deducing the RSS counterparts of different double sampling estimators of the mean. For example

See Khare and Srivastava (1993), Singh, H. P and Kumar, S (2008a, b, 2009).

References

Agrawal, M. C., Sthapit, A. B. (1997). Hierarchic predictive ratio-based and product-based estimators and their efficiency. Journal of Applied Statistics, 24, 97–104.

Bouza, C. N., & Prabhu-Ajgaonkar, S. G. (1993). Estimation of the difference of population means when observations are missing. Biometrical Journal, 35, 245–252.CrossRef



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