An improved estimation procedure of population mean in two-occasion successive sampling

ABSTRACT

In this paper an attempt to estimate the current population mean in two-occasion successive sampling has been made. A modified regression-type estimator has been proposed. Optimum replacement strategy of the proposed estimator has been formulated. The proposed estimator is compared with sample mean estimator when there is no matching from the previous occasion and the optimum natural successive sampling estimator. Empirical studies are carried out and suitable recommendations have been made.

KEYWORDS:

• Auxiliary information
• Bias
• Mean square error
• Optimum
• Replacement strategy
• Successive sampling

AMS SUBJECT CLASSIFICATION:

• 62D05

Acknowledgments

Authors are thankful to the reviewer for his valuable comments. Authors are also thankful to the Indian School of Mines, Dhanbad, for providing financial and infrastructural support in completion of this research work.