Title
|
|
|
|
Goodness-of-fit tests based on a robust measure of skewness
|
|
Author
|
|
|
|
|
|
Abstract
|
|
|
|
In this paper we propose several goodness-of-fit tests based on robust measures of skewness and tail weight. They can be seen as generalisations of the JarqueBera test (Bera and Jarque in Econ Lett 7:313318, 1981) based on the classical skewness and kurtosis, and as an alternative to the approach of Moors et al. (Stat Neerl 50:417430, 1996) using quantiles. The power values and the robustness properties of the different tests are investigated by means of simulations and applications on real data.We conclude that MC-LR, one of our proposed tests, shows the best overall power and that it is moderately influenced by outlying values |
|
|
Language
|
|
|
|
English
|
|
Source (journal)
|
|
|
|
Computational statistics. - Heidelberg
|
|
Publication
|
|
|
|
Heidelberg
:
2008
|
|
ISSN
|
|
|
|
0943-4062
|
|
DOI
|
|
|
|
10.1007/S00180-007-0083-7
|
|
Volume/pages
|
|
|
|
23
:3
(2008)
, p. 429-442
|
|
ISI
|
|
|
|
000257721500005
|
|
Full text (Publisher's DOI)
|
|
|
|
|
|