Bilinear regression analysis. An introduction

DOI10.1007/978-3-319-78784-8zbMath1398.62003OpenAlexW2989227026MaRDI QIDQ1661491

Dietrich von Rosen

Publication date: 16 August 2018

Published in: Lecture Notes in Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-78784-8

zbMATH Keywords

maximum likelihoodinfluential observationsresidualsmultivariate normal distributionmultivariate regression

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Hypothesis testing in multivariate analysis (62H15) Point estimation (62F10) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Diagnostics, and linear inference and regression (62J20)

Related Items (17)

Residuals in GMANOVA-MANOVA model with rank restrictions on parameters ⋮ Graphical analysis of residuals in multivariate growth curve models and applications in the analysis of longitudinal data ⋮ Small area estimation using reduced rank regression models ⋮ Test for mean matrix in GMANOVA model under heteroscedasticity and non-normality for high-dimensional data ⋮ Approximation of misclassification probabilities in linear discriminant analysis based on repeated measurements ⋮ Bilinear regression with random effects and reduced rank restrictions ⋮ A score test for detecting extreme values in a vector autoregressive model ⋮ Likelihood ratio tests for elaborate covariance structures and for MANOVA models with elaborate covariance structures -- a review ⋮ Covariance Model with General Linear Structure and Divergent Parameters ⋮ Profile analysis in high dimensions ⋮ Unnamed Item ⋮ Asymptotic approximation of misclassification probabilities in linear discriminant analysis with repeated measurements ⋮ Matrix differential calculus with applications in the multivariate linear model and its diagnostics ⋮ On an important residual in the GMANOVA-MANOVA model ⋮ Growth curve model with bilinear random coefficients ⋮ Testing in the growth curve model with intraclass correlation structure ⋮ On residual analysis in the GMANOVA-MANOVA model

This page was built for publication: Bilinear regression analysis. An introduction