Title: Maximal type test statistics based on conditional processes
Authors: Beirlant, Jan ×
Einmahl, JHJ #
Issue Date: 1996
Publisher: Elsevier science bv
Series Title: Journal of statistical planning and inference vol:53 issue:1 pages:1-19
Abstract: A general methodology is presented for non-parametric testing of independence, location and dispersion in multiple regression. The proposed testing procedures are based on the concepts of conditional distribution function, conditional quantile, and conditional shortest t-fraction. Techniques involved come from empirical process and extreme-value theory. The asymptotic distributions are standard Gumbel.
ISSN: 0378-3758
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Statistics Section
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science