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Focusing on ANOVA models with random effects, this volume provides an in-depth exploration of point estimation, interval estimation, and hypothesis testing for linear models. It specifically addresses balanced data scenarios, offering comprehensive methodologies and techniques applicable across various fields like biology and engineering. The work is structured into two volumes, with the second volume dedicated to unbalanced data models, ensuring a thorough understanding of both orthogonal and non-orthogonal approaches in experimental design.
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Analysis of Variance for Random Models, Mario M. Ojeda, Hardeo Sahai
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- 2013
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