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