On the diversity of estimates.
From MaRDI portal
Publication:1589460
DOI10.1016/S0167-9473(99)00068-7zbMath1052.62509OpenAlexW2024500276MaRDI QIDQ1589460
Publication date: 12 December 2000
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-9473(99)00068-7
algorithmsDiagnostics by high breakdown pointDiversity of estimatesHeuristics of high breakdown pointLMS and LTSSelection of estimate
Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35) Parametric inference (62F99)
Related Items (10)
Consistency of the instrumental weighted variables ⋮ APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001 ⋮ GENERAL TRIMMED ESTIMATION: ROBUST APPROACH TO NONLINEAR AND LIMITED DEPENDENT VARIABLE MODELS ⋮ An algorithm for computing exact least-trimmed squares estimate of simple linear regression with constraints ⋮ Least trimmed squares in nonlinear regression under dependence ⋮ EXPLORING THE IMPACT OF CALENDAR EFFECTS ON THE DYNAMIC STRUCTURE AND FORECASTS OF FINANCIAL TIME SERIES ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Diagnostics for non-linear regression ⋮ Empirical distribution function under heteroscedasticity
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Min-max bias robust regression
- A new theoretical and algorithmical basis for estimation, identification and control
- A minimax-bias property of the least \(\alpha\)-quantile estimates
- Aspects of robust linear regression
- Unconventional features of positive-breakdown estimators
- Sensitivity analysis of \(M\)-estimates
- Transformations in Regression: A Robust Analysis
- Least Median of Squares Regression
- Asymptotics for one-step m-estimators in regression with application to combining efficiency and high breakdown point
- Asymptotic behavior of general M-estimates for regression and scale with random carriers
- Trimmed Least Squares Estimation in the Linear Model
- On One-Step GM Estimates and Stability of Inferences in Linear Regression
This page was built for publication: On the diversity of estimates.