Jackknife method for the location of gross errors in weighted total least squares

DOI10.1080/03610918.2019.1691225OpenAlexW2989786421MaRDI QIDQ5082944

No author found.

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1691225

zbMATH Keywords

parameter estimationJackknife methodweighted total least squaresGross error locatingrobust weighted total least squares

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• VanHuffel

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• An Analysis of the Total Least Squares Problem
• Total least squares adjustment in partial errors-in-variables models: algorithm and statistical analysis
• Subsampling techniques and the jackknife methodology in the estimation of the extremal index
• The jackknife estimate of variance
• Sign-constrained robust least squares, subjective breakdown point and the effect of weights of observations on robustness
• Rejection of Outliers
• Robust regression using repeated medians
• Jackknife inference for heteroscedastic linear regression models
• Global total least squares modeling of multivariable time series
• Jackknife resampling parameter estimation method for weighted total least squares
• Jackknife resample method for precision estimation of weighted total least squares
• Robust Estimation of a Location Parameter
• Robust Statistics

This page was built for publication: Jackknife method for the location of gross errors in weighted total least squares