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Implementing Logarithmic Type Estimation Procedure For Population Mean in Successive Sampling |
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PP: 451-457 |
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doi:10.18576/jsap/090302
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Author(s) |
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P. Mukhopadhyay,
A. Bandyopadhyay,
G. N. Singh,
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Abstract |
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Abstract: Bahl, S. and Tuteja R.K. (1991) [1] introduced exponential structure which earned considerable success among the survey statisticians. The present paper, getting inspiration from that, attempts to introduce a new chain type ratio estimator using logarithmic function structure. The estimator is applied in successive sampling situation where complete response is presumed at both occasions. We have studied the properties of the suggested estimator and also derived its optimum condition. The strength of the proposed estimator over the conventional ones has been discussed, through numerical illustrations, taking into account four standard data sets from various situations. Encouraged with the outcomes of the proposed estimator and strategy, it has been suggested to the survey statisticians for future use.
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