ORTHOGONALLY DECOMPOSING THE INTERACTION SUM OF SQUARES IN TWO FACTOR EXPERIMENTS WHEN BOTH FACTORS ARE QUANTITATIVE: UNBALANCED DATA AND UNEQUAL SPACING

DOI10.1081/STA-100104753zbMath0993.62065MaRDI QIDQ4540666

Charles J. Monlezun

Publication date: 28 July 2002

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

zbMATH Keywords

polynomialsregressionGram-Schmidtcell meanssequential sum of squaresno missing cells

Mathematics Subject Classification ID

Factorial statistical designs (62K15) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001

Uses Software

• SAS

Cites Work

• A Simple Method for Constructing Orthogonal Polynomials When the Independent Variable is Unequally Spaced
• Addendum to fitting polynomials to main effects in multi factor experiments: A note concerning polynomial coefficients when all factors are quantitative
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