Arbeitspapier
Treatments of non-metric variables in partial least squares and principal component analysis
This paper reviews various treatments of non-metric variables in Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms. The performance of different treatments is compared in the extensive simulation study under several typical data generating processes and recommendations are made. An application of PLS and PCA algorithms with non-metric variables to the generation of a wealth index is considered.
- Sprache
-
Englisch
- Erschienen in
-
Series: Discussion Papers ; No. 172
- Klassifikation
-
Wirtschaft
Statistical Simulation Methods: General
Index Numbers and Aggregation; Leading indicators
Urban, Rural, Regional, Real Estate, and Transportation Economics: Household Analysis: General
- Thema
-
Principal Component Analysis
PCA
Partial Least Squares
PLS
non-metric variables
simulation
wealth index
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Yoon, Jisu
Krivobokova, Tatyana
- Ereignis
-
Veröffentlichung
- (wer)
-
Georg-August-Universität Göttingen, Courant Research Centre - Poverty, Equity and Growth (CRC-PEG)
- (wo)
-
Göttingen
- (wann)
-
2015
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Yoon, Jisu
- Krivobokova, Tatyana
- Georg-August-Universität Göttingen, Courant Research Centre - Poverty, Equity and Growth (CRC-PEG)
Entstanden
- 2015
Ähnliche Objekte (12)
Partial Least Squares and Principal Component Analysis with Non-metric Variables for Composite Indices
Least trimmed squares
Least-squares collocation
Least Trimmed Squares
Resurrecting weighted least squares
Resurrecting weighted least squares
Utilizing least squares variance component estimation to combine multi-GNSS clock offsets
Least-squares prediction of runoff
Improving weighted least squares inference
The Constrained Least-Squares Paradox
Total Least Squares Spline Approximation
Linear models : least squares and alternatives
Partial Least Squares and Principal Component Analysis with Non-metric Variables for Composite Indices
Least trimmed squares
Least-squares collocation
Least Trimmed Squares
Resurrecting weighted least squares
Resurrecting weighted least squares
Utilizing least squares variance component estimation to combine multi-GNSS clock offsets
Least-squares prediction of runoff
Improving weighted least squares inference
The Constrained Least-Squares Paradox
Total Least Squares Spline Approximation
Linear models : least squares and alternatives
Partial Least Squares and Principal Component Analysis with Non-metric Variables for Composite Indices
Least trimmed squares
Least-squares collocation
Least Trimmed Squares
Resurrecting weighted least squares
Resurrecting weighted least squares
Utilizing least squares variance component estimation to combine multi-GNSS clock offsets
Least-squares prediction of runoff
Improving weighted least squares inference
The Constrained Least-Squares Paradox
Total Least Squares Spline Approximation