Improved estimators in beta prime regression models

DOI10.1080/03610918.2021.1990322arXiv2008.11750OpenAlexW3205609732MaRDI QIDQ6181865

Mariana C. Araújo, Marcelo Bourguignon, Francisco M. C. Medeiros

Publication date: 23 January 2024

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2008.11750

zbMATH Keywords

bootstrapbias correctionmaximum-likelihooddispersion covariatesbeta prime distribution

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
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• Bias reduction in exponential family nonlinear models
• Bias-corrected estimators for dispersion models with dispersion covariates
• Bias and skewness in a general extreme-value regression model
• Improved statistical inference for the two-parameter Birnbaum-Saunders distribution
• A modified score function estimator for multinomial logistic regression in small samples.
• Improved estimation in a general multivariate elliptical model
• A new regression model for positive random variables with skewed and long tail
• Bias prevention of maximum likelihood estimates for scalar skew normal and skew \(t\) distribu\-tions
• A WARP-SPEED METHOD FOR CONDUCTING MONTE CARLO EXPERIMENTS INVOLVING BOOTSTRAP ESTIMATORS
• Multinomial logit bias reduction via the Poisson log-linear model
• Corrected maximum likelihood estimators in heteroscedastic symmetric nonlinear models
• Using Maple and Mathematica to derive bias corrections for two parameter distributions
• Bias reduction of maximum likelihood estimates
• Model selection: some generalized distributions
• Improved Estimation in Cumulative Link Models
• APPROXIMATE CONFIDENCE INTERVALS

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