A Simulation Comparison of Several Procedures for Testing the Poisson Assumption
By Dimitris Karlis, Evdokia Xekalaki. 2000
54 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/69c3edf8399e9df94f7e996f3746b96a3cc8cc50
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
- Dimitris Karlis
- Ioannis Ntzoufras
- Ian G. McHale
- Philip A. Scarf
- Lluís Bermúdez
- Rutger Lit
- S. J. Koopman
- Aristidis K. Nikoloulopoulos
In Statistics and Probability
- Dimitris Karlis
- Ioannis Ntzoufras
- Aristidis K. Nikoloulopoulos
- John K. Kruschke
- Kjersti Aas
- Ingrid Hobæk Haff
- Hiroki Masuda
- Reiichiro Kawai
Citations in the corpus
- Analysis of sports data by using bivariate Poisson models (2003, background): “The variance test (see Karlis and Xekalaki (2000) for a critical review) does not reject the hypothesis of the Poisson distribution.”
- Correlation in Corporate Defaults: Contagion or Conditional Independence? (2010, unknown): “Electronic copy available at: http://ssrn.com/abstract=1338381 1 Introduction There is ample evidence that corporate defaults are correlated. Direct evidence can be found in several empirical studies which document a large time variation in default frequencies and link this variation to, among other”