The Gram-Schmidt Construction as a Basis for Linear Models

DOI10.1080/00031305.2013.875485OpenAlexW2089396580WikidataQ58246041 ScholiaQ58246041MaRDI QIDQ5877630

Lynn Roy La Motte

Publication date: 15 February 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2013.875485

zbMATH Keywords

estimabilityleast squareslinear equationsorthogonal projection

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

A formula for Type III sums of squares

Cites Work

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• A matrix formula for testing linear hypotheses in linear models
• Plane Answers to Complex Questions
• Linear Model Methodology
• A coordinate-free approach to testable hypotheses
• Testable hypotheses in singular fixed linear models
• On the Expressions of Estimability in Testing General Linear Hypotheses
• Linear Statistical Inference and its Applications
• Matrix Algebra

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