The asymptotics for studentized K-Step M-Estimators of location
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Publication:4865165
DOI10.1080/07474949508836334zbMath0839.62075OpenAlexW1986697558WikidataQ126241575 ScholiaQ126241575MaRDI QIDQ4865165
Publication date: 13 February 1996
Published in: Sequential Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474949508836334
rate of approximationjump-discontinuitiesgeneral asymptotics\(k\)-step versionsabsolutely continuous score functionsstudentized \(M\)-estimators of locationthree-parameters empirical \(M\)-processesuniform asymptotic linearity results
Related Items (3)
Sequential interval estimation based on generalized M-statistics with piecewise-smooth influence curves ⋮ Asymptotic properties of one-step M-estimators ⋮ Functional stability of one-step GM-estimators in approximately linear regression
Cites Work
- Effect of the initial estimator on the asymptotic behavior of one-step M- estimator
- Asymptotic relations between L- and M-estimators in the linear model
- Rate of convergence of one- and two-step M-estimators with applications to maximum likelihood and Pitman estimators
- On inconsistent M-estimators
- The bias of \(k\)-step M-estimators
- On some analogues to linear combinations of order statistics in the linear model
- Asymptotics for one-step m-estimators in regression with application to combining efficiency and high breakdown point
- Trimmed Least Squares Estimation in the Linear Model
- On One-Step GM Estimates and Stability of Inferences in Linear Regression
- An approximation of partial sums of independent RV'-s, and the sample DF. I
- One-Step Huber Estimates in the Linear Model
- One‐step M‐estimators in the linear model, with dependent errors
- Robust Statistics
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