Three contributions to robust regression diagnostics

DOI10.1515/jamsi-2015-0013zbMath1334.62095OpenAlexW2415507244MaRDI QIDQ275538

Jan Kalina

Publication date: 26 April 2016

Published in: Journal of Applied Mathematics, Statistics and Informatics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/jamsi-2015-0013

zbMATH Keywords

hypothesis testingrobust regressionautocorrelationinstrumental variablesleast trimmed squaresdiagnostic toolsrobust econometrics

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Economic time series analysis (91B84) Diagnostics, and linear inference and regression (62J20)

Related Items (2)

Robust Training of Radial Basis Function Neural Networks ⋮ A Comparison of Robust Model Choice Criteria Within a Metalearning Study

Cites Work

• Semiparametrically weighted robust estimation of regression models
• Implicitly weighted methods in robust image analysis
• Power Comparison of Multivariate Wilcoxon-type Tests Based on the Jurečková–Kalina’s Ranks of Distances
• Robust Statistics
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Three contributions to robust regression diagnostics