The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application
By Antonio Sanhueza, Víctor Leiva, Narayanaswamy Balakrishnan. 2008
114 citations recorded by the source corpus.
Subfields: Demography, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d56d0110e078679fde1251c7728b81852fd94cc3
How researchers see this paper
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In Demography
- Víctor Leiva
- Narayanaswamy Balakrishnan
- Gilberto A. Paula
- Filidor V. Vilca
- Samuel Kotz
- Saralees Nadarajah
In Statistics and Probability
- Víctor Leiva
- Narayanaswamy Balakrishnan
- Filidor V. Vilca
- Antonio Sanhueza
- Lucia Santana
- Gilberto A. Paula
- Gauss Moutinho Cordeiro
- Debasis Kundu
Citations in the corpus
- A Skewed Sinh-Normal Distribution and Its Properties and Application to Air Pollution (2010, background): “For more details about this last family, see Saunders (1974).”
- Robust statistical modeling using the Birnbaum-Saunders- t distribution applied to insurance (2012, background): “The BS distribution has been generalized to obtain a major degree of flexibility essentially in the kurtosis; see [3, 23, 24].”
- Influence analysis in skew-Birnbaum–Saunders regression models and applications (2011, background): “Some generalizations of the BS distribution were recently proposed [9,14,31].”
- On an extreme value version of the Birnbaum-Saunders distribution (2012, background): “For the GBS case, V = (T/β + β/T − 2)/α2 ∼ Gχ2(1; fZ ), i.e., V follows the generalized χ2 class of distributions with one d.f., which has the χ2(1) distribution as a special case if fZ is the standard normal density; see Sanhueza et al. (2008).”
- Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm (2009, background): “For more details about various developments on the BS distribution, one may refer to Birnbaum and Saunders (1969a), Johnson et al. (1995, pp. 651-663), and Sanhueza et al. (2008) .”
- Two New Mixture Models Related to the Inverse Gaussian Distribution (2010, background): “Also, the extended inverse Gaussian (EIG) and extended Birnbaum-Saunders (EBS) distributions are special cases of the EMIG model by considering p = 0 and 1/2, which can be revised in Leiva et al. (2008a) and Sanhueza et al. (2008b) , respectively.”