Abstract
Two sample problems and classifcation procedures are discussed. It is shown that adaptation of the MML estimators leads to tests which have Type I robustness and have remarkably high power.
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© 1984 Academy of Agricultural Sciences of the GDR, Research Centre of Animal Production, Dummerstorf-Rostock, DDR 2551 Dummerstorf.
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Tiku, M.L. (1984). Robust Location-Tests and Classification Procedures. In: Rasch, D., Tiku, M.L. (eds) Robustness of Statistical Methods and Nonparametric Statistics. Theory and Decision Library, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6528-7_34
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DOI: https://doi.org/10.1007/978-94-009-6528-7_34
Publisher Name: Springer, Dordrecht
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