2010, ISBN: 9783843356954

[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied scientists routinely use PLS for classification and there is substantial empirical evidence to suggest that it performs well in that role. The interesting question is "why?" Why can a procedure that is principally designed for over-determined regression problems locate and emphasize group structure? Using PLS in this manner has heuristic support owing to the relationship between PLS and canonical correlations analysis (CCA) and the relationship, in turn, between CCA and linear discriminant analysis (LDA). This dissertation replaces the heuristics with a formal statistical explanation. As a consequence, it will become clear that PLS is to be preferred over principal components analysis (PCA) when discrimination is the goal and dimension reduction is needed., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 5mm, 96, [GW: 144g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

booklooker.de |

ISBN: 3843356955

[EAN: 9783843356954], Neubuch, Publisher/Verlag: LAP Lambert Academic Publishing | Statistical Theory and Implementation | Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied scientists routinely use PLS for classification and there is substantial empirical evidence to suggest that it performs well in that role. The interesting question is "why?" Why can a procedure that is principally designed for over-determined regression problems locate and emphasize group structure? Using PLS in this manner has heuristic support owing to the relationship between PLS and canonical correlations analysis (CCA) and the relationship, in turn, between CCA and linear discriminant analysis (LDA). This dissertation replaces the heuristics with a formal statistical explanation. As a consequence, it will become clear that PLS is to be preferred over principal components analysis (PCA) when discrimination is the goal and dimension reduction is needed. | Format: Paperback | Language/Sprache: english | 144 gr | 220x150x5 mm | 96 pp

AbeBooks.de European-Media-Service Mannheim, Mannheim, Germany [1048135] [Rating: 5 (von 5)] NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) Details... |

2010, ISBN: 3843356955

[EAN: 9783843356954], Neubuch, [PU: LAP Lambert Acad. Publ. Okt 2010], Neuware - Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied scientists routinely use PLS for classification and there is substantial empirical evidence to suggest that it performs well in that role. The interesting question is 'why ' Why can a procedure that is principally designed for over-determined regression problems locate and emphasize group structure Using PLS in this manner has heuristic support owing to the relationship between PLS and canonical correlations analysis (CCA) and the relationship, in turn, between CCA and linear discriminant analysis (LDA). This dissertation replaces the heuristics with a formal statistical explanation. As a consequence, it will become clear that PLS is to be preferred over principal components analysis (PCA) when discrimination is the goal and dimension reduction is needed. 96 pp. Englisch

AbeBooks.de BuchWeltWeit Inh. Ludwig Meier e.K., Bergisch Gladbach, Germany [57449362] [Rating: 5 (von 5)] NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) Details... |

2010, ISBN: 3843356955

[EAN: 9783843356954], Neubuch, [PU: LAP Lambert Acad. Publ. Okt 2010], Neuware - Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied scientists routinely use PLS for classification and there is substantial empirical evidence to suggest that it performs well in that role. The interesting question is 'why ' Why can a procedure that is principally designed for over-determined regression problems locate and emphasize group structure Using PLS in this manner has heuristic support owing to the relationship between PLS and canonical correlations analysis (CCA) and the relationship, in turn, between CCA and linear discriminant analysis (LDA). This dissertation replaces the heuristics with a formal statistical explanation. As a consequence, it will become clear that PLS is to be preferred over principal components analysis (PCA) when discrimination is the goal and dimension reduction is needed. 96 pp. Englisch

AbeBooks.de Rheinberg-Buch, Bergisch Gladbach, Germany [53870650] [Rating: 5 (von 5)] NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) Details... |

ISBN: 9783843356954

Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied scientists routinely use PLS for classification and there is substantial empirical evidence to suggest that it performs well in that role. The interesting question is "why?" Why can a procedure that is principally designed for over-determined regression problems locate and emphasize group structure? Using PLS in this manner has heuristic support owing to the relationship between PLS and canonical correlations analysis (CCA) and the relationship, in turn, between CCA and linear discriminant analysis (LDA). This dissertation replaces the heuristics with a formal statistical explanation. As a consequence, it will become clear that PLS is to be preferred over principal components analysis (PCA) when discrimination is the goal and dimension reduction is needed. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Mathematik / Stochastik & Statistik

Dodax.de Nr. EO8KK7VKTFI. Versandkosten:Versandkosten: 0 EUR, 11, zzgl. Versandkosten. (EUR 0.00) Details... |

2010, ISBN: 9783843356954

[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, a… Mehr…

Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00)

ISBN: 3843356955

[EAN: 9783843356954], Neubuch, Publisher/Verlag: LAP Lambert Academic Publishing | Statistical Theory and Implementation | Partial least squares (PLS) was not originally designed as a too… Mehr…

NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00)

2010

## ISBN: 3843356955

[EAN: 9783843356954], Neubuch, [PU: LAP Lambert Acad. Publ. Okt 2010], Neuware - Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite… Mehr…

NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00)

2010, ISBN: 3843356955

[EAN: 9783843356954], Neubuch, [PU: LAP Lambert Acad. Publ. Okt 2010], Neuware - Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite… Mehr…

NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00)

ISBN: 9783843356954

Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied scientists routinely use PLS for classification and there is su… Mehr…

Nr. EO8KK7VKTFI. Versandkosten:Versandkosten: 0 EUR, 11, zzgl. Versandkosten. (EUR 0.00)

Autor: | |

Titel: | |

ISBN-Nummer: |

** Detailangaben zum Buch - Partial Least Squares for Discrimination**

EAN (ISBN-13): 9783843356954

ISBN (ISBN-10): 3843356955

Gebundene Ausgabe

Taschenbuch

Erscheinungsjahr: 2010

Herausgeber: LAP Lambert Acad. Publ.

96 Seiten

Gewicht: 0,161 kg

Sprache: eng/Englisch

Buch in der Datenbank seit 2008-11-17T17:26:54+01:00 (Berlin)

Detailseite zuletzt geändert am 2019-03-08T22:47:40+01:00 (Berlin)

ISBN/EAN: 9783843356954

ISBN - alternative Schreibweisen:

3-8433-5695-5, 978-3-8433-5695-4

< zum Archiv...