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 …
A new Birnbaum–Saunders distribution and its mathematical features applied to bimodal real-world data from environment and medicine
J Reyes, J Arrué, V Leiva, C Martin-Barreiro - Mathematics, 2021 - mdpi.com
In this paper, we propose and derive a Birnbaum–Saunders distribution to model bimodal
data. This new distribution is obtained using the product of the standard Birnbaum …
data. This new distribution is obtained using the product of the standard Birnbaum …
On the bimodal Gumbel model with application to environmental data
The Gumbel model is a very popular statistical model due to its wide applicability for
instance in the course of certain survival, environmental, financial or reliability studies. In this …
instance in the course of certain survival, environmental, financial or reliability studies. In this …
A bimodal model for extremes data
CEG Otiniano, BS Paiva, R Vila… - … and Ecological Statistics, 2023 - Springer
In extreme values theory, for a sufficiently large block size, the maxima distribution is
approximated by the generalized extreme value (GEV) distribution. The GEV distribution is a …
approximated by the generalized extreme value (GEV) distribution. The GEV distribution is a …
On some properties of the bimodal normal distribution and its bivariate version
In this work, we derive some novel properties of the bimodal normal distribution. Some of its
mathematical properties are examined. We provide a formal proof for the bimodality and …
mathematical properties are examined. We provide a formal proof for the bimodality and …
On mean-based bivariate Birnbaum-Saunders distributions: Properties, inference and application
Birnbaum-Saunders models have been widely used to describe data following positive-
skew distributions. In this article, we introduce a bivariate Birnbaum-Saunders distribution …
skew distributions. In this article, we introduce a bivariate Birnbaum-Saunders distribution …
Theoretical results and modeling under the discrete Birnbaum-Saunders distribution
In this paper, we discuss some theoretical results and properties of a discrete version of the
Birnbaum-Saunders distribution. We present a proof of the unimodality of this model …
Birnbaum-Saunders distribution. We present a proof of the unimodality of this model …
A New Class of Exponentiated Exponential Distributions: Bimodality, Regression, and Application
A Alzaghal, M Aldeni, R Al-Aqtash - Journal of Statistical Theory and …, 2023 - Springer
Developing families of distributions that can be flexible in modeling different shapes of data
remains a strong emphasis in research. Many families of distributions appeared in the …
remains a strong emphasis in research. Many families of distributions appeared in the …
A bivariate fatigue-life regression model and its application to fracture of metallic tools
Abstract The Birnbaum–Saunders distribution has been widely used to model reliability and
fatigue data. In this paper, we propose a regression of generalized linear models type based …
fatigue data. In this paper, we propose a regression of generalized linear models type based …
On a bivariate Birnbaum-Saunders distribution parameterized by its means: features, reliability analysis and application
Birnbaum-Saunders models have been widely used to model positively skewed data. In this
paper, we introduce a bivariate Birnbaum-Saunders distribution which has the means as …
paper, we introduce a bivariate Birnbaum-Saunders distribution which has the means as …