1. This limits the ability of parametric methods to detect ancient HGTs. 2. Another justification for the use of non-parametric methods is simplicity. 3. For example parametric methods include multiple linear regression; non-parametric techniques include local smoothing. 4. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. 5. In terms of levels of measurement, non-parametric methods result in " ordinal " data. 6. SSA can be effectively used as a non-parametric method of time series monitoring and change detection. 7. To detect HGT using parametric methods , the host's genomic signature needs to be clearly recognizable. 8. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. 9. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods . 10. One can compute prediction intervals without any assumptions on the population; formally, this is a non-parametric method .
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