On mitigating collinearity through mixtures

DOI10.1080/00949655.2018.1437620OpenAlexW2790604462WikidataQ57447139 ScholiaQ57447139MaRDI QIDQ4960619

Donald E. Ramirez, Donald R. Jensen

Publication date: 23 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2018.1437620

zbMATH Keywords

conditioningmonotone functionsefficiency indicesdesign modificationordering by majorization

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Diagnostics, and linear inference and regression (62J20)

Cites Work

• Unnamed Item
• Surrogate models in ill-conditioned systems
• Condition numbers and D-efficiency.
• Matrix extremes and related stochastic bounds
• Revision: variance inflation in regression
• Anomalies in the Foundations of Ridge Regression
• International Encyclopedia of Statistical Science
• Ridge Regression in Practice
• On the Roles of Observations in Collinearity in the Linear Model
• Singular majorants and minorants: enhanced design conditioning
• Enhanced design efficiency through least upper bounds
• Regression Analysis by Example
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Significance Test for Sphericity of a Normal $n$-Variate Distribution
• Inequalities
• Inequalities: theory of majorization and its applications

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