Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/176988
Authors: 
Doll, Monika
Klein, Ingo
Year of Publication: 
2018
Series/Report no.: 
FAU Discussion Papers in Economics 05/2018
Abstract: 
Sample size analysis is a key part of the planning phase of any research. So far, however, limited literature focusses on sample size analysis methods for two-sample linear rank tests, although these methods have optimal properties at different distributions. This paper provides a new sample size analysis method for linear rank tests for location shift alternatives based on score generating functions. Results show a slightly anti-conservative behavior, no severe risk of an occuring circular argument at small to moderate variances of the population's distribution, and good performance compared to alternate sample size analysis methods for the most well-known linear rank test, the Wilcoxon-Mann-Whitney test.
Subjects: 
Sample Size Analysis
Linear Rank Test
Score Generating Function
Circular Argument
Document Type: 
Working Paper
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