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A New Exponential Type Estimator for the Population Mean in Simple Random Sampling
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Shahram Yaghoobzadeh Shahrastani *   |
| payame Noor University |
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Abstract: (3396 Views) |
| In this paper, a new estimate of exponential type of auxiliary information to help simple random sampling without replacement of the finite population mean is introduced. This new estimator with a few other estimates using two real data sets are compared with the mean square error. |
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| Keywords: Simple random sampling without replacement, auxiliary information, exponential type estimator, mean square error. |
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Full-Text [PDF 254 kb]
(936 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2017/10/3 | Accepted: 2019/02/28 | Published: 2019/04/25
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