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A New form of Ratio Estimator under Rank set Sampling |
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PP: 1-4 |
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doi:10.18576/amisl/090101
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Author(s) |
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Rizwan Yousuf,
M. Iqbal Jeelani Bhat,
Zakir Hussain Wani,
Khalid ul Islam,
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Abstract |
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| A new method of sampling suggested, namely ranked set sampling (RSS) is efficient methodology as compared to simple random sampling (SRS) technique. Initially this methodology was proposed by McIntyre (1952) in the context of estimating population mean and pastures yields. In the last few years several authors suggested different modifications of the (RSS). When observations are costly or time-consuming but the ranking of the observations without actual measurement can be done relatively easily, ranked set sampling (RSS) can be employed instead of simple random sampling (SRS) to gain more information.Its efficiency for estimating the higher population moments is better than that of simple random sampling (SRS).It is mainly used under the condition that the measurement of units are difficult or time consuming but the ranking of the units by some methods other than actual measurements (e.g. visual inspection) is relatively easy. In this paper a new form of ratio estimator has been proposed under rank set sampling by adapting the ratio estimator proposed by Jeelani et al. (2013) under simple random sampling. It has been seen that the proposed estimator is more efficient than the estimator suggested by Jeelani et al. (2013) in all situations. The results are supported by empirical study also.
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