Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling.
Extensive research work has been done for the estimation of population mean using bivariate auxiliary information based on conventional measures. Conventional measures of the auxiliary variables provide suspicious results in the presence of outliers/extreme values. However, non-conventional measures...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0313712 |
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| author | Maria Javed Muhammad Irfan Sandile C Shongwe Muhammad Ali Hussain Mutum Zico Meetei |
| author_facet | Maria Javed Muhammad Irfan Sandile C Shongwe Muhammad Ali Hussain Mutum Zico Meetei |
| author_sort | Maria Javed |
| collection | DOAJ |
| description | Extensive research work has been done for the estimation of population mean using bivariate auxiliary information based on conventional measures. Conventional measures of the auxiliary variables provide suspicious results in the presence of outliers/extreme values. However, non-conventional measures of the auxiliary variables include quartile deviation, mid-range, inter-quartile range, quartile average, tri-mean, Hodge-Lehmann estimator etc. give efficient results in case of extreme values. Unfortunately, non-conventional measures are not used by survey practitioners to enhance the estimation of unknown population parameters using bivariate auxiliary information. In this article, difference-cum-exponential-type estimators for population mean utilizing bivariate auxiliary information based on non-conventional measures under simple and stratified random sampling schemes have been suggested. Mathematical properties such as bias and mean squared error are derived. To support theoretical findings, various real-life applications are used to confirm the superiority of the suggested estimators as compared to the competing estimators under study. |
| format | Article |
| id | doaj-art-64dbcf31aac14017a07aaa06ceb3afb7 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-64dbcf31aac14017a07aaa06ceb3afb72025-08-20T03:52:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031371210.1371/journal.pone.0313712Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling.Maria JavedMuhammad IrfanSandile C ShongweMuhammad Ali HussainMutum Zico MeeteiExtensive research work has been done for the estimation of population mean using bivariate auxiliary information based on conventional measures. Conventional measures of the auxiliary variables provide suspicious results in the presence of outliers/extreme values. However, non-conventional measures of the auxiliary variables include quartile deviation, mid-range, inter-quartile range, quartile average, tri-mean, Hodge-Lehmann estimator etc. give efficient results in case of extreme values. Unfortunately, non-conventional measures are not used by survey practitioners to enhance the estimation of unknown population parameters using bivariate auxiliary information. In this article, difference-cum-exponential-type estimators for population mean utilizing bivariate auxiliary information based on non-conventional measures under simple and stratified random sampling schemes have been suggested. Mathematical properties such as bias and mean squared error are derived. To support theoretical findings, various real-life applications are used to confirm the superiority of the suggested estimators as compared to the competing estimators under study.https://doi.org/10.1371/journal.pone.0313712 |
| spellingShingle | Maria Javed Muhammad Irfan Sandile C Shongwe Muhammad Ali Hussain Mutum Zico Meetei Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling. PLoS ONE |
| title | Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling. |
| title_full | Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling. |
| title_fullStr | Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling. |
| title_full_unstemmed | Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling. |
| title_short | Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling. |
| title_sort | difference cum exponential type estimators for estimation of finite population mean in survey sampling |
| url | https://doi.org/10.1371/journal.pone.0313712 |
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