Estimating the matrix of root-mean-square errors of estimates of linear regression parameters for an arbitrary number of regressors and three inequality constraints

DOI10.1007/s10559-006-0071-xzbMath1120.15022OpenAlexW2020441134MaRDI QIDQ2371699

Arnold S. Korkhin

Publication date: 5 July 2007

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-006-0071-x

zbMATH Keywords

matrix transformationlinear regressioninequality constraintmatrix of root-mean-square errorsremainder variance

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Hermitian, skew-Hermitian, and related matrices (15B57) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

• On inequality constrained generalized least-squares estimation
• Parameter estimation accuracy for nonlinear regression with nonlinear constraints
• Unnamed Item
• Unnamed Item

This page was built for publication: Estimating the matrix of root-mean-square errors of estimates of linear regression parameters for an arbitrary number of regressors and three inequality constraints