Missing regressor values under conditions of multicollinearity

DOI10.1080/03610928308828622zbMath0539.62084OpenAlexW2014746229MaRDI QIDQ3326653

R. Carter Hill, Rod F. Ziemer

Publication date: 1983

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

Full work available at URL: https://doi.org/10.1080/03610928308828622

zbMATH Keywords

Numerical resultsmulti-collinearityill-conditioned designsincomplete sample observationsreplacing missing regressor valuessubstituting sample means

Mathematics Subject Classification ID

Linear inference, regression (62J99)

Related Items (2)

Pre-test procedures and forecasting in the regression model under restrictions ⋮ On Procedures Frequently Used in Multiple Regression Analysis for Dealing with Missing Values

Uses Software

• alr3

Cites Work

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• The use of incomplete observations in multiple regression analysis. A generalized least squares approach
• A mean square error test when stochastic restrictions are used in regression
• Moments and Distributions of Estimates of Population Parameters from Fragmentary Samples
• A Test of the Mean Square Error Criterion for Restrictions in Linear Regression

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