Robust regression for estimating the Burr XII parameters with outliers

DOI10.1080/02664760902906231OpenAlexW2057435348MaRDI QIDQ5123576

Yung-Fu Cheng, Fu-Kwun Wang

Publication date: 29 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760902906231

zbMATH Keywords

maximum likelihoodleast squaresrobust regressionM-estimatorBurr XII distribution

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

Minimum L^q‐distance estimators for non‐normalized parametric models ⋮ Theory and practice of a bivariate trigonometric Burr XII distribution ⋮ Different estimation methods for the parameters of the extended Burr XII distribution ⋮ Unnamed Item ⋮ Optimal B-robust estimators for the parameters of the Burr XII distribution

Cites Work

• Notes on maximum likelihood estimation for the three-parameter Burr XII distribution
• A characterization of the Burr type XII distribution
• The mean-shift outlier model in general weighted regression and its applications.
• Robust regression: Asymptotics, conjectures and Monte Carlo
• Nonparametric Estimation from Incomplete Observations
• Bayesian inferences given a type-²censored sample from a burr distribution
• A Look at the Burr and Related Distributions
• A guide to the Burr type XII distributions
• Robust regression using iteratively reweighted least-squares
• The Burr Distribution as a Failure Model from a Bayesian Approach
• Estimation of parameters in the presence of outliers for a burr XII distribution
• Bayesian estimation of the parameters,reliability and failure rate functions of the burr type xii failure model
• Robust Estimation of a Location Parameter
• Cumulative Frequency Functions
• Robust Statistics

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