An application of modified systematic sampling in auto-correlated populations
This study explores the efficiency of modified systematic sampling (MSS) in the context of auto-correlated populations. The MSS scheme is compared to linear systematic sampling (LSS), circular systematic sampling (CSS) and mixed random systematic sampling (MRSS) under different superpopulation model...
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| Format: | Article |
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| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Kuwait Journal of Science |
| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/article/pii/S2307410825000483 |
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| Summary: | This study explores the efficiency of modified systematic sampling (MSS) in the context of auto-correlated populations. The MSS scheme is compared to linear systematic sampling (LSS), circular systematic sampling (CSS) and mixed random systematic sampling (MRSS) under different superpopulation models, emphasizing its applicability to auto-correlated datasets. Through numerical simulations and empirical validations, MSS demonstrates superior efficiency over conventional methods, making it a promising approach for various fields dealing with auto-correlated data. © 2025 The Authors |
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| ISSN: | 2307-4108 2307-4116 |