Birnbaum‐Saunders distribution: A review of models, analysis, and applications
N Balakrishnan, D Kundu - Applied Stochastic Models in …, 2019 - Wiley Online Library
Birnbaum and Saunders introduced a two‐parameter lifetime distribution to model the
fatigue life of a metal, subject to cyclic stress. Since then, extensive work has been done on …
fatigue life of a metal, subject to cyclic stress. Since then, extensive work has been done on …
An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data
Quantile regression allows us to estimate the relationship between covariates and any
quantile of the response variable rather than the mean. Recently, several statistical …
quantile of the response variable rather than the mean. Recently, several statistical …
Automatic segmentation model combining U-Net and level set method for medical images
We introduce a new method that combines a constrained term and level set method for the
automated segmentation of medical image. There are two types of constrained terms, fully …
automated segmentation of medical image. There are two types of constrained terms, fully …
Birnbaum‐Saunders quantile regression and its diagnostics with application to economic data
Abstract The Birnbaum‐Saunders (BS) distribution is a model that frequently appears in the
statistical literature and has proved to be very versatile and efficient across a wide range of …
statistical literature and has proved to be very versatile and efficient across a wide range of …
On a partial least squares regression model for asymmetric data with a chemical application in mining
In chemometrical applications, covariates in regression models are often correlated, causing
a collinearity problem that can be solved by partial least squares (PLS) regression. In …
a collinearity problem that can be solved by partial least squares (PLS) regression. In …
Birnbaum-Saunders quantile regression models with application to spatial data
In the present paper, a novel spatial quantile regression model based on the Birnbaum–
Saunders distribution is formulated. This distribution has been widely studied and applied in …
Saunders distribution is formulated. This distribution has been widely studied and applied in …
The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications
In this paper, we propose and derive a new regression model for response variables defined
on the open unit interval. By reparameterizing the unit generalized half-normal distribution …
on the open unit interval. By reparameterizing the unit generalized half-normal distribution …
A new BISARMA time series model for forecasting mortality using weather and particulate matter data
Abstract The Birnbaum–Saunders (BS) distribution is a model that frequently appears in the
statistical literature and has proved to be very versatile and efficient across a wide range of …
statistical literature and has proved to be very versatile and efficient across a wide range of …
Weibull regression and machine learning survival models: Methodology, comparison, and application to biomedical data related to cardiac surgery
Simple Summary This article proposes a comparative study between two models that can be
used by researchers for the analysis of survival data: Weibull regression and random …
used by researchers for the analysis of survival data: Weibull regression and random …
A novel regression model for fractiles: Formulation, computational aspects, and applications to medical data
V Leiva, J Mazucheli, B Alves - Fractal and Fractional, 2023 - mdpi.com
Covariate-related response variables that are measured on the unit interval frequently arise
in diverse studies when index and proportion data are of interest. A regression on the mean …
in diverse studies when index and proportion data are of interest. A regression on the mean …