An Empirical and Simulation-Based Evaluation of Existing Class Estimators in Two-Occasion Successive Sampling
Keywords:
uccessive sampling, Population mean, Estimators, Efficiency, Simulation study, Correlation strengthAbstract
This study presents an empirical and simulation-based comparison of four established estimators for estimating the population mean in two-occasion successive sampling. Artificial populations have been generated under varying correlation structures (strong, moderate, and weak) and different sample sizes to evaluate estimator their performances using percent relative efficiency (PRE) and the optimum replacement policy. The results reveal that estimators’ efficiencies increase with increase in correlation strength and sample size. Real-data applications supported the simulation outcomes, confirming the superior and consistent performance of some estimators over others across multiple populations. Overall, no single estimator dominated across all conditions, emphasizing that the choice of estimator should depend on the expected correlation structure and sampling design.Downloads
Published
2025-10-25
Issue
Section
Articles
License
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
An Empirical and Simulation-Based Evaluation of Existing Class Estimators in Two-Occasion Successive Sampling. (2025). Applied Science, Computing, and Energy, 3(3), 471-481. https://cemrj.com/index.php/volumes/article/view/147
Similar Articles
- Amos Abba, Data, Democracy, and Deep Learning: The Transformative Role of AI in Digital Journalism , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Egbuhuzor Udechukwu Peter, Okoro Enyinnaya Okoro, Enhancing Rainfall-Runoff Prediction Accuracy using Artificial Neural Networks: A Case Study of Bida, Nigeria , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Boniface Egbu Odor, Emmanuel Nzegbule, Precious Chieze Chikezie, Tochukwu Nnamdi Onyemuche, N. Jerius Ejeje, Doris Olachi Alilonu, Obinna Charles Ekoh, Peter Chibuzor Onuoha, Marycynthia Amarachi Ojiakor, Assessing the effect of herbicide use (Glyphosate) on fruiting and phytochemical characteristics of edible soil mushroom (Pleurotus ostreatus) , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- , U.L Anekwe, Level of Radiological Hazards at the Information Computer Technology (ICT) Complex, Federal University Otuoke, Nigeria , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Babatunde Ogunyemi, COMPUTATIONAL DESIGN OF PYRIDYL-BENZALDEHYDE DERIVATIVES AS ECO-FRIENDLY CORROSION INHIBITORS: A DFT-BASED STUDY , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Jeremiah Makarau Iliya, Johnson Adeniyi Babafemi, Ibrahim Aliyu Mohammed, Survey of Difficult Concepts in Chemistry Among Secondary School Students in Zaria Local Government Area, Kaduna State, Nigeria , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Anthony Ekedegwa, Evans Ashiegwuike, Abdullahi Mohammed S. B., Hybrid Grey Wolf Optimization and Gorilla Troop Optimizer Algorithms in ANN for Short-Term Load Forecasting , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Benjamin Odey Omang, Temple Okah Arikpo, Godwin Terwase Kave, Asinya Enah Asinya, Idris Nurudeen Gimba, Anthony Adesoji Onasanwo, Application of Multi-fractal Modeling and Multivariate Statistical Analysis to Stream Sediment Data for Assessing the Mineralization Potential in the Akpet area, Southeastern Nigeria , Applied Science, Computing, and Energy: Vol. 4 No. 2 (2026): Volume 4 Issue 2
- Anthony Ekedegwa, Evans Ashigwuike, Abdullahi Mohammed , Hybrid of Support Vector Regression, Genetic Algorithm, and Bat Optimization Algorithm Integrated with ANN for Short-Term Load Forecasting , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Ukeme Nsikak Essien, Bright Aiyehirue Agwogie, Quantitative Assessment of Carbon Sequestration Potential and Biomass Accumulation in Selected Forest Ecosystems of Southern Nigeria , Applied Science, Computing, and Energy: Vol. 4 No. 3 (2026): Volume 4, Issue 3
You may also start an advanced similarity search for this article.