Nonparametric estimation of location parameter after a preliminary test on regression in the multivariate case

DOI10.1016/0047-259X(79)90089-7zbMath0408.62033MaRDI QIDQ1258572

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

Publication date: 1979

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

zbMATH Keywords

Asymptotic DistributionAsymptotic BiasAsymptotic Relative EfficiencyAsymptotic Dispersion MatrixMultivariate Regression ModelNonparametric Estimation of Location ParameterPreliminary Test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Linear inference, regression (62J99)

Related Items (12)

On least squares estimation of intercepts after a preliminary test on parallelism of regression lines ⋮ On the asymptotic distributional risk properties of pre-test and shrinkage \(L_ 1\)-estimators ⋮ Estimation strategies for the intercept vector in a simple linear multivariate normal regression model ⋮ A james-stein type detour of U-statistics ⋮ On shrinkage least squares estimation in a parallelism problem ⋮ Multivariate linear rank statistics for profile analysis ⋮ Establishment of Preliminary Test Estimators and Preliminary Test Confidence Intervals for Measures of Reliability of an Exponentiated Distribution Based on Type-II Censoring ⋮ Biased estimation in a simple multivariate regression model ⋮ Improved nonparametric estimation of location vectors in multivariate regression models ⋮ On shrinkage m-estimators of location parameters ⋮ Improved pretest nonparametric estimation in a multivariate regression model ⋮ Nonparametric tests of location after a preliminary test on regression in the multivariate case

Cites Work

• Nonparametric estimation of location parameter after a preliminary test on regression
• A Class of Rank Order Tests for a General Linear Hypothesis
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