Analysis of variance of balanced fractional \(S^ m\) factorial designs of resolution \(V_{p,q}\)
From MaRDI portal
Publication:1330188
DOI10.1016/0378-3758(94)90039-6zbMath0806.62061OpenAlexW2053248454MaRDI QIDQ1330188
Yoshifumi Hyodo, Masahide Kuwada
Publication date: 12 July 1994
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(94)90039-6
analysis of variancegeneral meantwo-factor interactionsinformation matricesbalanced fractional factorial designbalanced arrays of strength 4mean effectsmultidimensional relationship
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On the characteristic polynomial of the information matrix of balanced fractional \(s^ m\) factorial designs for resolution \(V_{p,q}\)
- Optimal balanced fractional \(3^m\) factorial designs of resolution V and balanced third-order designs
- Balanced arrays of strength 4 and balanced fractional \(3^m\) factorial designs
- Characteristic polynomials of the information matrices of balanced fractional \(3^ m\) factorial designs of resolution V
- The characteristic polynomial of the information matrix for second-order models
- Optimal balanced \(2^7\) fractional factorial designs of resolution \(v\), with \(N\leq 42\)
- Balanced arrays of strength 21 and balanced fractional \(2^m\) factorial designs
- The Relationship Algebra of an Experimental Design
- Analysis of variance of balanced fractional 2nfactorial designs of resolution 2l+1
- Economical Second-Order Designs Based on Irregular Fractions of the 3 n Factorial
- On the Characteristic Roots of the Information Matrix of $2^m$ Balanced Factorial Designs of Resolution V, with Applications
- The Choice of the Degree of a Polynomial Regression as a Multiple Decision Problem
This page was built for publication: Analysis of variance of balanced fractional \(S^ m\) factorial designs of resolution \(V_{p,q}\)
