Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1149785 | Journal of Statistical Planning and Inference | 2009 | 12 Pages |
Abstract
In quantitative trait linkage studies using experimental crosses, the conventional normal location-shift model or other parameterizations may be unnecessarily restrictive. We generalize the mapping problem to a genuine nonparametric setup and provide a robust estimation procedure for the situation where the underlying phenotype distributions are completely unspecified. Classical Wilcoxon–Mann–Whitney statistics are employed for point and interval estimation of QTL positions and effects.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Fei Zou, Lei Nie, Fred. A. Wright, Pranab K. Sen,