Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm

By Narayanaswamy Balakrishnan, Víctor Leiva, Antonio Sanhueza, Filidor V. Vilca. 2009

77 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/77a9ab4a394e59cb24faf16cd52afb22c0193e96

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Lucia Santana
2. Luis Hernando Vanegas
3. Gilberto A. Paula
4. Filidor V. Vilca
5. Víctor Leiva
6. Carolina Marchant
7. Helton Saulo

Citations in the corpus

• Influence analysis in skew-Birnbaum–Saunders regression models and applications (2011, methodology): “This class is named the skewBS (SBS) distribution [21,35] and is mainly motivated by two points: (i) the SBS specification allows us to estimate extreme percentiles located at the left-tail of the distribution, which is not possible with the usual BS specification; (ii) using the SBS model, the maxi”
• Log-symmetric distributions: Statistical properties and parameter estimation (2016, background): “The Birnbaum–Saunders, Birnbaum–Saunders-t and slash-Birnbaum–Saunders distributions are special cases (Balakrishnan et al., 2009).”