multiple and conditional deletion diagnostics for general linear models

DOI10.1080/03610920008832584zbMath0994.62066OpenAlexW1992100945MaRDI QIDQ4541752

Ingrid A. Baade, Anthony N. Pettitt

Publication date: 28 July 2002

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

Full work available at URL: https://doi.org/10.1080/03610920008832584

zbMATH Keywords

influenceresidualleveragecorrelated errorsCook's distanceone-step approximationgeneralised least squares

Mathematics Subject Classification ID

Diagnostics, and linear inference and regression (62J20)

Related Items (1)

Robust methods for the analysis of spatially autocorrelated data

Cites Work

• Longitudinal data analysis using generalized linear models
• Unbalanced Repeated-Measures Models with Structured Covariance Matrices
• Leverage, influence and residuals in regression models when observations are correlated
• Deletion diagnostics for generalised estimating equations
• Case-Deletion Diagnostics for Mixed Models
• Residuals for the Linear Model With General Covariance Structure
• A generalized multivariate analysis of variance model useful especially for growth curve problems

This page was built for publication: multiple and conditional deletion diagnostics for general linear models