Mixed regression estimator under inclusion of some superfluous variables

DOI10.1007/BF02595878zbMath0938.62069MaRDI QIDQ1969431

Madhulika Dube

Publication date: 13 June 2000

Published in: Test (Search for Journal in Brave)

zbMATH Keywords

ordinary least squaresmisspecificationnon-normalitymixed regression estimatorinclusion of variables

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)

Related Items (3)

A comparison between two competing fixed parameter constrained general linear models with new regressors ⋮ Statistical analysis of a linear regression model with restrictions and superfluous variables ⋮ Superiority of the r-k class estimator over some estimators in a misspecified linear model

Cites Work

• Mixed regression estimator under misspecification
• Mean square error matrix superiority of estimators under linear restrictions and misspecification
• On the Use of Incomplete Prior Information in Regression Analysis
• Comparison of k-Class Estimators When the Disturbances Are Small
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