The simulation studies: a generalized class of Hartley-Ross type under non-response conditions
In the context of sample surveys, it is only sometimes feasible to obtain complete and accurate information. Non-response represents a significant challenge in this context. As this is a common occurrence in the context of estimation, various approaches are employed to eliminate it. This paper propo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Mathematical and Computer Modelling of Dynamical Systems |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/13873954.2025.2490512 |
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| Summary: | In the context of sample surveys, it is only sometimes feasible to obtain complete and accurate information. Non-response represents a significant challenge in this context. As this is a common occurrence in the context of estimation, various approaches are employed to eliminate it. This paper proposes a new class of estimators constructed by combining non-response and unbiased estimator approaches. The simulation study provides a comprehensive evaluation of the performance of various estimators by considering a wide range of scenarios, including different sample sizes, correlation coefficients, non-response rates, and z-values. This extensive simulation framework has explored multiple conditions and variations to ensure a thorough assessment of estimator performance under different settings. The findings show that each member of the proposed family of estimators consistently exhibits a higher PRE value than all other estimators under the scenarios tested. |
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| ISSN: | 1387-3954 1744-5051 |