Using Liu estimator for detection of influential observations in linear measurement error models

DOI10.1080/03610926.2018.1475567OpenAlexW2964101308WikidataQ127485689 ScholiaQ127485689MaRDI QIDQ5076933

F. Ghapani

Publication date: 17 May 2022

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

Full work available at URL: https://doi.org/10.1080/03610926.2018.1475567

zbMATH Keywords

case deletioninfluential observationsLiu estimatorcorrected likelihooddiagnostic

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Diagnostic measures for the restricted Liu estimator in linear measurement error models ⋮ A two-parameter estimator in linear measurement error model

Cites Work

• The influence function in the errors in variables problem
• Local influence in measurement error models with ridge estimate
• Maximum likelihood estimation of functional relationships
• Influence analysis for linear measurement error models
• Linear models and generalizations. Least squares and alternatives. With contributions by Michael Schomaker.
• Assessing Influence on the Liu Estimates in Linear Regression Models
• Corrected score function for errors-in-variables models: Methodology and application to generalized linear models
• A new class of blased estimate in linear regression
• Checking the Cox model with cumulative sums of martingale-based residuals
• MEAN SQUARED ERROR COMPARISONS OF SOME BIASED REGRESSION ESTIMATORS
• Mixed Liu estimator in linear measurement error models
• Detecting influential observations in Liu and modified Liu estimators
• Mean shift and influence measures in linear measurement error models with stochastic linear restrictions
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Using Liu estimator for detection of influential observations in linear measurement error models