The purpose of this paper is to develop a Bayesian approach for log-Birnbaum–Saunders
Student-t regression models under right-censored survival data. Markov chain Monte Carlo …

The main objective of this paper is to develop a full Bayesian analysis for the Birnbaum–
Saunders (BS) regression model based on scale mixtures of the normal (SMN) distribution …

The failure rate function commonly has a bathtub shape in practice. In this paper we discuss
a regression model considering new Weibull extended distribution developed by Xie et …

Birnbaum-Saunders models have largely been applied in material fatigue studies and
reliability analyses to relate the total time until failure with some type of cumulative damage …

The integrals involved in Bayesian inference have long served as an impediment to the
wider application of these techniques in the analysis of life testing and reliability models. The …

In this paper, we compare three residuals to assess departures from the error assumptions
as well as to detect outlying observations in log-Burr XII regression models with censored …

This article develops influence diagnostics for log‐Birnbaum–Saunders (LBS) regression
models with censored data based on case‐deletion model (CDM). The one‐step …

As is the case of many studies, the data collected are limited and an exact value is recorded
only if it falls within an interval range. Hence, the responses can be either left, interval or …

Modeling and inference for survival analysis problems typically revolves around different
functions related to the survival distribution. Here, we focus on the mean residual life (MRL) …

We develop a Bayesian analysis for the class of Birnbaum–Saunders nonlinear regression
models introduced by Lemonte and Cordeiro (Comput Stat Data Anal 53: 4441–4452 …