Exponential regression for censored data with outliers

DOI10.1080/00949655.2015.1016432OpenAlexW1991185120MaRDI QIDQ5222343

Yuan Shan Wu, Jing Zhang, Yan Yan Liu

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1016432

zbMATH Keywords

penalty functioncensored dataoutlier detectionsmoothly clipped absolute deviationexponential regression

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Identification of influential observations based on binary particle swarm optimization in the cox PH model ⋮ On the three-component mixture of exponential distributions: a Bayesian framework to model data with multiple lower and upper outliers

Uses Software

• alr3

Cites Work

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• Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
• One-step sparse estimates in nonconcave penalized likelihood models
• Estimating the dimension of a model
• Pathwise coordinate optimization
• Coordinate descent algorithms for lasso penalized regression
• Outlier Detection Using Nonconvex Penalized Regression
• Detection of Influential Observation in Linear Regression
• Proportional hazards tests and diagnostics based on weighted residuals
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

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