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Statistics Colloquium
March 23 (Fri) 11 a.m.
Alavi Commons Room, 6625 Everett Tower
John E. Daniels
Associate Professor of Statistics
Department of Mathematics
Central Michigan University
Within geostatistics research, effective estimation of the variogram points has been examined, particularly in developing robust alternatives. The parametric fit of these variogram points which eventually defines the kriging weights, however, has not received the same attention from a robust perspective. This paper proposes the use of the non-linear Wilcoxon norm over weighted non-linear least squares as a robust variogram fitting alternative. At low levels of contamination, the non-weighted Wilcoxon outperforms weighted Least Squares for the variogram models and parameters considered.
All statistics students are expected to attend.