On the enhancement of estimator efficiency of population variance through stratification, transformation, and formulation with application to COVID-19 data
The exploration of efficient and reliable data analysis tools is a constant endurance in statistical community. Stratification bring enhancement in estimates by capturing the heterogeneity in the data. This work introduces a novel data-driven machine learning algorithm aiming stratification problem,...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
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Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824015023 |
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