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
- ENENI ROBERTS INALA, ASSESSMENT OF HEAVY METALS IN AGROECOSYSTEMS IN OTUOKE, BAYELSA STATE , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Idongesit Nathaniel Ufot, Nzikahyel Simon, Atim Sunday Johnson, Ekarika Christopher Johnson, Idongesit Bassey Anweting, Victor Mkpenie, Evaluation of the Binding Affinities of Mixed Ligands Metal (II) Complexes of Quercetin Sulphonic Acids on Breast Cancer Cells Using Molecular Docking. , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Osigbemhe Izuagbe Gilbert, Kingsley Omoniyi Adebayo, Investigation of Mineral Composition, Proximate Constituents, Anti-Nutritional Factor, Antimicrobial Activities and Phytochemical Screening of Aqueous Extract of Tamarindus indica Seed , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Uduak Irene Aletan, Sunday Adenekan, Phytochemical Profiling of Opa eyin, a Traditional Nigerian Herbal Preparation, by GC–MS and Its Potential Pharmacological Implications , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Babatunde Ogunyemi, COMPUTATIONAL DESIGN OF DIBENZO[a,c]QUINOXALINO(2,3-I) PHENAZINE AS ECO-FRIENDLY CORROSION INHIBITORS: A DFT AND MONTE CARLO SIMULATIONS STUDIES , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Mac-kalunta Onuchi Marygem, Chinedu Ifeanyi Nwankwo, Anslem Kenechukwu Nwokedi, Phytochemical analysis, GC-MS profiling, and assessment of antioxidant, antibacterial, and antimycobacterial properties of extracts of Brillantaisia wariness leaves , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Monica Chikodinaka Nkwocha, Onyinyechi Chinanuekpere Nwadiuko, Lebe Agwu Nnanna, The Inhibitive Properties of Avocado (Persea Americana) Leaves Extract on the Corrosion of Mild Steel in 1M HCl , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Reuben Oluwabukunmi David, Job Obalowu, Tasi’u Musa, Yahaya Zakari, Beyond Normality: OGELAD Error Distribution in Energy Prices Volatility Forecasting , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Funmilayo Ayedun, Energy gap and impact of change in temperature as core determinant of transport property of ternary NbNiBi Half-Heusler compound , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Robinson Ogochukwu Isichei , A Review of AI on the Understanding of Music, Religion and Future/Emerging Trends , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
You may also start an advanced similarity search for this article.