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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The constructing method of the optimal design, based on the incidence matrices of balanced incomplete block designs, is presented.
📌 3 Key Takeaways
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Objective & Hypothesis:The problems linked with an A-optimal spring balance weighing design with correlated errors are discussed.
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Key Findings & Data:The topic is focus on the deter- mining the lowest bound of the trace of inverse information matrix in a special class of design matrices.
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Conclusion & Impact:The constructing method of the optimal design, based on the incidence matrices of balanced incomplete block designs, is presented.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:A-optimal design · balanced incomplete block design · spring balance weighing design
Abstract
The problems linked with an A-optimal spring balance weighing design with correlated errors are discussed. The topic is focus on the deter- mining the lowest bound of the trace of inverse information matrix in a special class of design matrices. The constructing method of the optimal design, based on the incidence matrices of balanced incomplete block designs, is presented.
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Cite This Article
Ceranka, B., Graczyk, M. (2022). Regular A-optimal spring balance weighing designs with correlated errors. Hacettepe Journal of Mathematics and Statistics, Cilt: 44 - Sayı: 6, 1527–1535. https://ajindex.com/articles/530202