Tests of Fit for Exponentiality based on the Empirical Laplace Transform
By Norbert Henze, Simos G. Meintanis. 2002
56 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/292dd0b34211a46b75aa52b9ad76641081563c25
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
- Norbert Henze
- Simos G. Meintanis
- H. Alizadeh Noughabi
- Nasser Arghami
- H. Muhammed
- Artur J. Lemonte
- W. Barreto‐Souza
In Computational Theory and Mathematics
In Statistics and Probability
- Nasser Arghami
- Simos G. Meintanis
- H. Alizadeh Noughabi
- Norbert Henze
- Ludwig Baringhaus
- Bruno Ebner
- H. Muhammed
- Jan W. H. Swanepoel
Citations in the corpus
- Testing exponentiality based on characterizations of the exponential distribution (2011, background): “These alternatives were used by Henze and Meintanis [32] and Grane and Fortiana [40] in their study of power comparisons of several tests for exponentiality.”
- Recent and classical tests for exponentiality: a partial review with comparisons (2005, methodology): “The weight function w is assumed to satisfy wðt Þ¼ Oðt k Þ as t !1 , for some integer k. Henze and Meintanis (2002a) derive the limit distribution of Ln under H0 and under contiguous alternatives to exponentiality.”