Inversní regresní křivka
The presented work deals with Sliced inverse regression method for dimension reduction of explanatory variable in case of multivariate data sets. The aim of this work is to present this method, its characteristics and assumptions and ways of determining the new dimension of explanatory variable. Thi...
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| Format: | Dissertation |
| Language: | Slovak |
| Published: |
2010
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| Online Access: | http://www.nusl.cz/ntk/nusl-298963 |
| Summary: | The presented work deals with Sliced inverse regression method for dimension reduction of explanatory variable in case of multivariate data sets. The aim of this work is to present this method, its characteristics and assumptions and ways of determining the new dimension of explanatory variable. This is done in the first theoretical part. The second practical part is dedicated to application of SIR method on simulated and real data. All simulations and calculations were done in programme R and are enclosed on CD. |
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