Test of fit for Marshall–Olkin distributions with applications
By Simos G. Meintanis. 2007
138 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4af28955020c15724c3b436af0da17b1aca306b4
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
- Artur J. Lemonte
- H. Muhammed
- W. Barreto‐Souza
- Mohamed E. Ghitany
- Norbert Henze
- Josmar Mazucheli
- Ludwig Baringhaus
- Bruno Ebner
In Statistics and Probability
- Artur J. Lemonte
- Ludwig Baringhaus
- Bruno Ebner
- Norbert Henze
- Josmar Mazucheli
- W. Barreto‐Souza
- André Felipe Berdusco Menezes
- H. Muhammed
Citations in the corpus
- The unit-inverse Gaussian distribution: A new alternative to two-parameter distributions on the unit interval (2018, background): “For example, T represents the failure time (in days) of a device during a warranty period of ν = 365 days, or the time (in minutes) of the first kick goal scored by a team in a professional soccer match of ν = 90 minutes (see Meintanis (2007)).”
- Bivariate inverse Weibull distribution (2016, methodology): “Meintanis [19] used the Marshal–Olkin distribution to analyse the data.”
- Bivariate Kumaraswamy distribution: properties and a new method to generate bivariate classes (2013, methodology): “We analysed a real data set and showed through goodness-of-fit tests that the BVK distribution can be used for modelling the data obtained from [37].”
- The limit distribution of weighted $$L^2$$L2-goodness-of-fit statistics under fixed alternatives, with applications (2017, methodology): “…Iliopoulos and Meintanis (2003) studied L2-statistics in connectionwithGOF testing for theRayleigh distribution, Meintanis (2008b) considered testing for the log-normal family bymeans of the EMF, and Meintanis (2007) used the ELT for L2-based tests of fit for bivariate Marshall–Olkin distributions.”