Tests for location-scale families based on the empirical characteristic function

By T. W. Epps. 2005

47 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f6fcdfd81818244ef7ab4fda84004ed059b62976

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

1. Anne Leucht
2. Simos G. Meintanis
3. Michael H. Neumann
4. Jan W. H. Swanepoel
5. Konstantinos Fokianos
6. E. Rio
7. H. Muhammed
8. Richard A. Davis

In Statistics and Probability

1. Anne Leucht
2. Michael H. Neumann
3. Jan W. H. Swanepoel
4. Simos G. Meintanis
5. Arthur Gretton
6. Kacper P. Chwialkowski
7. Konstantinos Fokianos
8. Norbert Henze

Citations in the corpus

• Consistency of general bootstrap methods for degenerate U-type and V-type statistics (2009, background): “Epps [23] proposed again a generalization to general location–scale families and worked out simple expressions for the test statistic in several cases.”
• Bootstrap goodness-of-fit tests with estimated parameters based on empirical transforms (2007, background): “This approach is in fact pretty much straightforward in location–scale families (see for instance Epps, 2005, for a unified treatment), but the presence of an extra shape parameter necessi- tates the use of the parametric bootstrap, and the consequent justification of this procedure Ac ce pt ed m…”