Bayesian inference for sinh-normal/independent nonlinear regression models
From MaRDI portal
Publication:5138688
DOI10.1080/02664763.2016.1238058OpenAlexW2528631348MaRDI QIDQ5138688
Filidor Vilca, Caio Lucidius Naberezny Azevedo, Narayanaswamy Balakrishnan
Publication date: 4 December 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2016.1238058
Bayesian inferencerobust estimationsinh-normal distributionBirnbaum-Saunders distributiongeneralized inverse Gaussian distributionnormal/independent distribution
Related Items (2)
A robust Birnbaum-Saunders regression model based on asymmetric heavy-tailed distributions ⋮ Birnbaum‐Saunders distribution: A review of models, analysis, and applications
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bayesian inference for the Birnbaum-Saunders nonlinear regression model
- A robust multivariate measurement error model with skew-normal/independent distributions and Bayesian MCMC implementation
- Robust linear mixed models with skew-normal independent distributions from a Bayesian perspective
- Confidence interval estimation by a joint pivot method
- Bayesian analysis of Birnbaum-Saunders distribution with partial information
- Birnbaum-Saunders nonlinear regression models
- On estimation and influence diagnostics for log-Birnbaum-Saunders Student-\(t\) regression models: full Bayesian analysis
- Diagnostics analysis for log-Birnbaum-Saunders regression models
- Influence diagnostics in log-Birnbaum-Saunders regression models with censored data
- On diagnostics in symmetrical nonlinear models
- Inferences for the Birnbaum-Saunders fatigue life model using Bayesian methods
- Linear and Nonlinear Mixed-Effects Models for Censored HIV Viral Loads Using Normal/Independent Distributions
- Influence analysis in skew-Birnbaum–Saunders regression models and applications
- Influence Diagnostics in log-Birnbaum-Saunders Regression Models
- Bayesian Case Influence Diagnostics for Survival Models
- Objective Bayesian analysis for the Student-t regression model
- BAYESIAN INFERENCE IN BIRNBAUM–SAUNDERS REGRESSION
- Bayesian Measures of Model Complexity and Fit
- Robust Linear Mixed Models with Normal/Independent Distributions and Bayesian MCMC Implementation
- The sinh-normal/independent nonlinear regression model
- Robust statistical modeling using the Birnbaum‐Saunders‐t distribution applied to insurance
- Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models
- Estimation for a family of life distributions with applications to fatigue
- A Log-Linear Model for the Birnbaum-Saunders Distribution
- SYSTEMS OF FREQUENCY CURVES GENERATED BY METHODS OF TRANSLATION
- Bayesian survival analysis
- A new class of survival regression models with heavy-tailed errors: robustness and diagnostics
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
This page was built for publication: Bayesian inference for sinh-normal/independent nonlinear regression models