Add to ORKGScale mixtures of normal (SMN) distributions are used for modeling symmetric data. Members of this family have appealing properties such as robust estimates, easy number generation, and efficient computation of the ML estimates via the EM-algorithm. The Birnbaum-Saunders (BS) distribution is a positively skewed model that is related to the normal distribution and has received considerable attention. We introduce a type of BS distributions based on SMN models, produce a lifetime analysis, develop the EM-algorithm for ML estimation of parameters, and illustrate the obtained results with real data showing the robustness of the estimation procedure.Peer Reviewe
We establish that the Birnbaum-Saunders distribution is the equilibrium mixture of the inverse Gauss...
www.idescat.net/sort Estimation in the Birnbaum-Saunders distribution based on scale-mixture of norm...
• The Birnbaum–Saunders (BS) distribution is a model that is receiving considerable attention due to...
Scale mixtures of normal (SMN) distributions are used for modeling symmetric data. Members of this ...
FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIM...
The aim of this work is to present an inference and diagnostic study of an extension of the lifetime...
The generalization of Birnbaum-Saunders (BS) distribution has recently received considerable attenti...
We present for the first time a justification on the basis of central limit theorems for the family ...
ABSTRACT: The Birnbaum-Saunders (BS) distribution is a positively skewed distribution and is a popul...
© 2015, Wang et al. We study the problem of robust estimation for the two-parameter Birnbaum-Saunder...
Birnbaum-Saunders (BS) distribution is a model with positive domain thatis used in many fields inclu...
In this paper, we carry out robust modeling and influence diagnostics in Birnbaum-Saunders (BS) regr...
The generalized Birnbaum-Saunders distribution pertains to a class of lifetime models including both...
In this paper we introduce a new extension for the Birnbaum-Saunder distribution based on the family...
The Birnbaum-Saunders (BS) model is a positively skewed statistical distribution that has received g...
We establish that the Birnbaum-Saunders distribution is the equilibrium mixture of the inverse Gauss...
www.idescat.net/sort Estimation in the Birnbaum-Saunders distribution based on scale-mixture of norm...
• The Birnbaum–Saunders (BS) distribution is a model that is receiving considerable attention due to...
Scale mixtures of normal (SMN) distributions are used for modeling symmetric data. Members of this ...
FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIM...
The aim of this work is to present an inference and diagnostic study of an extension of the lifetime...
The generalization of Birnbaum-Saunders (BS) distribution has recently received considerable attenti...
We present for the first time a justification on the basis of central limit theorems for the family ...
ABSTRACT: The Birnbaum-Saunders (BS) distribution is a positively skewed distribution and is a popul...
© 2015, Wang et al. We study the problem of robust estimation for the two-parameter Birnbaum-Saunder...
Birnbaum-Saunders (BS) distribution is a model with positive domain thatis used in many fields inclu...
In this paper, we carry out robust modeling and influence diagnostics in Birnbaum-Saunders (BS) regr...
The generalized Birnbaum-Saunders distribution pertains to a class of lifetime models including both...
In this paper we introduce a new extension for the Birnbaum-Saunder distribution based on the family...
The Birnbaum-Saunders (BS) model is a positively skewed statistical distribution that has received g...
We establish that the Birnbaum-Saunders distribution is the equilibrium mixture of the inverse Gauss...
www.idescat.net/sort Estimation in the Birnbaum-Saunders distribution based on scale-mixture of norm...
• The Birnbaum–Saunders (BS) distribution is a model that is receiving considerable attention due to...