Multivariate non-parametric tests of trend in the presence of missing data.
When testing for trend one may be interested in either a monotone trend or a step trend. The former assumes that the population shifts monotonically over time without specifing when the shift occurrs. The latter assumes that the observations recorded before some specific time belong to a different p...
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University of Ottawa (Canada)
2009
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| Online Access: | http://hdl.handle.net/10393/9155 http://dx.doi.org/10.20381/ruor-16172 |