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Improved neutrosophic estimation of population mean: Application to temperature data and simulation study |
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| รหัสดีโอไอ | |
| Creator | Maria Javed |
| Title | Improved neutrosophic estimation of population mean: Application to temperature data and simulation study |
| Contributor | Muhammad Waqar Hussain, Muhammad Irfan, Tanvir Ahmad |
| Publisher | Maejo University |
| Publication Year | 2569 |
| Journal Title | Maejo International Journal of Science and Technology |
| Journal Vol. | 20 |
| Journal No. | 2 |
| Page no. | 166 |
| Keyword | auxiliary information, mean squared error, neutrosophic data, percentage relative efficiency |
| Website title | Maejo International Journal of Science and Technology |
| ISSN | 1905-7873 |
| Abstract | Neutrosophic estimation of unknown population parameters has become one of the most recent areas of focus in sampling theory over the past few years. The growing interest in this approach stems from the limitations of classical statistics when dealing with unreliable, indeterminate and uncertain data. Classical statistics only handles with accurate, crisp and unambiguous information. This study introduces an innovative generalised estimator for estimating the population mean under simple random sampling. The proposed generalised estimator can generate a variety of ratio and product exponential-type families of estimators, which are based on both conventional and non-conventional auxiliary information. Expressions for the bias, mean squared error and minimum mean square error have been derived. The proposed estimators provide an interval within which the population parameter is likely to lie with maximum probability. The superiority of the suggested estimators is demonstrated through both natural and simulated data. |
