Fitting polynomials to main effects in multi factor experiments: unequal spacing and unbalanced data with no missing cells
type: Item
instance of: scholarly article
title: Fitting polynomials to main effects in multi factor experiments: unequal spacing and unbalanced data with no missing cells
zbMATH Open document ID: 0944.62071
DOI: 10.1080/03610929908832456
author: Charles J. Monlezun
publication date: 2000-09-24T00:00:00Z
Mathematics Subject Classification ID: 62K15
zbMATH DE Number: 1395791
zbMATH Keywords: regression
zbMATH Keywords: Gram-Schmidt
zbMATH Keywords: orthogonal decomposition
zbMATH Keywords: cell means
zbMATH Keywords: weighted averages
zbMATH Keywords: sequential sums of squares
describes a project that uses: SAS/STAT
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1080/03610929908832456
OpenAlex ID: W1985068235
cites work: Least Squares Fitting of Polynomials to Irregularly Spaced Data
cites work: Q4858097
cites work: Q3049699
cites work: Q5828338
cites work: Q3723523
cites work: A Simple Method for Constructing Orthogonal Polynomials When the Independent Variable is Unequally Spaced
cites work: Q4125602
published in: Communications in Statistics: Theory and Methods
description: scientific article; zbMATH DE number 1395791