On least squares estimation of intercepts after a preliminary test on parallelism of regression lines

DOI10.1080/03610928508828950zbMath0579.62052OpenAlexW2065496535MaRDI QIDQ3702310

Annick Lambert, Pranab Kumar Sen, A. K. Md. Ehsanes Saleh

Publication date: 1985

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

Full work available at URL: https://doi.org/10.1080/03610928508828950

zbMATH Keywords

asymptotic biasasymptotic efficiencymatrixpreliminary test estimatorsleast squares estimationuncertain prior informationasymptotic dispersionmulti-sample simple regression modelparallelism of the regression lines

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05)

Related Items (2)

Estimation of parameters of parallelism model with elliptically distributed errors ⋮ On shrinkage least squares estimation in a parallelism problem

Cites Work

• Nonparametric estimation of location parameter after a preliminary test on regression
• Nonparametric estimation of location parameter after a preliminary test on regression in the multivariate case
• On a Class of Rank Order Tests for the Parallelism of Several Regression Lines
• Estimation of Intercept in a Linear Regression Model with One Dependent Variable after a Preliminary Test on the Regression Coefficient
• On Biases in Estimation Due to the Use of Preliminary Tests of Significance

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