Abstract
This paper describes some proficient estimation procedures in the presence of multi-auxiliary variables to enhance the precision of estimates in two-occasion rotation sampling. Utilizing information on several auxiliary variables, which are considered to be a positive correlation with the study variables on both occasions, we have suggested some better estimation procedures. The behaviors of the proposed estimation strategies have been examined along with the discussion of optimum replacement strategies, and the results obtained in these estimation procedures are demonstrated numerically through empirical and simulation studies, which present the supremacy in efficiencies of the proposed estimation procedures over the sample mean estimator, natural successive sampling estimator and recently developed estimator.
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Acknowledgements
Authors convey their sincere thanks to Editor-in-Chief and the reviewers for encouraging suggestions which led to substantial improvement of the manuscript. The corresponding author of this manuscript is also thankful to the Indian Institute of Technology (ISM), Dhanbad, for providing all the necessary support to accomplish this work.
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Singh, G.N., Pandey, A.K. & Khetan, M. Generalized Estimation Procedure in Two-Occasion Rotation Patterns. Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci. 92, 195–203 (2022). https://doi.org/10.1007/s40010-020-00710-z
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DOI: https://doi.org/10.1007/s40010-020-00710-z
Keywords
- Successive sampling
- Multi-auxiliary variables
- Mean squared error
- Optimum replacement strategy
- Simulation study