Mixture inverse Gaussian distributions and its transformations, moments and applications
By Narayanaswamy Balakrishnan, Víctor Leiva, Antonio Sanhueza, Enrique Cabrera. 2009
103 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4128e7449b6faf41b56a122d598e37eb530bc5b1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Statistics and Probability
- Carolina Marchant
- Helton Saulo
- Flávio Augusto Ziegelmann
- Víctor Leiva
- A. H. Khammar
- S. Jahanshahi
- Hassan Zarei
- Narayanaswamy Balakrishnan
Citations in the corpus
- A nonparametric method for estimating asymmetric densities based on skewed Birnbaum–Saunders distributions applied to environmental data (2013, methodology): “Another reason for considering BS distributions as kernels is that such models have been largely applied to environmental data; see Leiva et al. (2008, 2009, 2010, 2011, 2012), Balakrishnan et al. (2009), Vilca et al. (2010, 2011), and Ferreira et al. (2012).”
- The Zografos–Balakrishnan-G Family of Distributions: Mathematical Properties and Applications (2015, unknown): “The data set is given in Balakrishnan et al. (2009).”
- ON CUMULATIVE RESIDUAL EXTROPY (2020, methodology): “3: This data set includes an active repair time (in hours) for an airborne communication transceiver reported by [4], which was originally given by Chhikara and Folks [6].”