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Robustness of Shrunken Predictors in Stratified Populations
Author(s) -
Bouza C. N.
Publication year - 1994
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710360113
Subject(s) - robustness (evolution) , statistics , stratified sampling , sampling (signal processing) , salinity , environmental science , ecology , mathematics , econometrics , computer science , biology , biochemistry , filter (signal processing) , gene , computer vision
The effect of assuming an inadequate superpopulation model in stratified sampling is studied when a shrinkage technique is used. The robustness is close related with the balance of the strata samples. This theoretical problem is present in studies of ecology. The results obtained enable to estimate the abundance of plankton when salinity is the auxiliary variable and expert's advise, in coast experimental stations networks, is used for fixing the superpopulation model.