On a new mixture-based regression model: simulation and application to data with high censoring

DOI10.1080/00949655.2020.1790560OpenAlexW3098379949MaRDI QIDQ5033447

Víctor Leiva, Manoel Santos-Neto, Helton Saulo, Mário F. Desousa

Publication date: 23 February 2022

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

Full work available at URL: https://arxiv.org/abs/1807.10987

zbMATH Keywords

Monte Carlo simulationcensoringmaximum likelihood methodmixture distributionsBernoulli and Birnbaum-Saunders distributions

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Bayesian Computation in a Birnbaum–Saunders Reliability Model with Applications to Fatigue Data ⋮ A novel claim size distribution based on a Birnbaum-Saunders and gamma mixture capturing extreme values in insurance: estimation, regression, and applications ⋮ A bivariate fatigue-life regression model and its application to fracture of metallic tools

Uses Software

• R

Cites Work

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• Estimation of Relationships for Limited Dependent Variables
• Influence diagnostics in the Tobit censored response model
• Reparameterized Birnbaum-Saunders regression models with varying precision
• Maximum likelihood methods in a robust censored errors-in-variables model
• A survival model with Birnbaum-Saunders frailty for uncensored and censored cancer data
• Exploring the potential use of the Birnbaum-Saunders distribution in inventory management
• Survival analysis. Techniques for censored and truncated data.
• Birnbaum-Saunders autoregressive conditional duration models applied to high-frequency financial data
• Influence diagnostics in mixed effects logistic regression models
• Birnbaum-Saunders frailty regression models: Diagnostics and application to medical data
• Random number generators for the generalized Birnbaum–Saunders distribution
• Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
• A Mixture Model with Detection Limits for Regression Analyses of Antibody Response to Vaccine
• A methodology for stochastic inventory models based on a zero‐adjusted Birnbaum‐Saunders distribution
• The Alpha-power Tobit Model
• Robust multivariate control charts based on Birnbaum–Saunders distributions
• On a tobit–Birnbaum–Saunders model with an application to medical data
• [Invited tutorial Birnbaum–Saunders regression models: a comparative evaluation of three approaches]
• Diagnostics in multivariate generalized Birnbaum-Saunders regression models
• Generalized Tobit models: diagnostics and application in econometrics
• A new family of life distributions
• Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods
• A criterion for environmental assessment using Birnbaum–Saunders attribute control charts

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