L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications

DOI10.1214/18-BJPS397zbMath1423.62071OpenAlexW2953090414WikidataQ127775035 ScholiaQ127775035MaRDI QIDQ2318624

Rosineide F. da Paz, Narayanaswamy Balakrishnan, Jorge Luis Bazán

Publication date: 15 August 2019

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bjps/1560153847

zbMATH Keywords

regression analysisrobustnessBayesian analysisbeta distributionL-logistic distributionsensibility analysis

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Exact distribution theory in statistics (62E15) Robustness and adaptive procedures (parametric inference) (62F35) Monte Carlo methods (65C05)

Related Items (4)

A note on the ``L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications ⋮ A finite mixture mixed proportion regression model for classification problems in longitudinal voting data ⋮ The unit-Gompertz quantile regression model for the bounded responses ⋮ L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications

Uses Software

• R
• Mcmcpack
• BayesDA

Cites Work

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