Interpretability of Composite Indicators Based on Principal Components
Principal component approaches are often used in the construction of composite indicators to summarize the information of input variables. The gain of dimension reduction comes at the cost of difficulties in interpretation, inaccurate targeting, and possible conflicts with the theoretical framework...
Saved in:
Main Authors: | Kris Boudt, Marco d’Errico, Hong Anh Luu, Rebecca Pietrelli |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2022/4155384 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bit selection method based on the rock drillability characteristics and principal component analysis of rock-breaking indicators
by: Yang Hu, et al.
Published: (2025-02-01) -
Research on indoor localization algorithm based on kernel principal component analysis
by: Hua-liang LI, et al.
Published: (2017-01-01) -
Pecorino romano : les transformations d’un produit d’origine protégée au cours des xixe et xxe siècles
by: Rita d’Errico
Published: (2020-10-01) -
Patrick Boucheron, Léonard et Machiavel
by: Dora d’Errico
Published: (2009-02-01) -
Caroline Callard, Le Prince et la République. Histoire, pouvoir et société dans la Florence des Médicis au XVIIe siècle
by: Dora d’Errico
Published: (2008-11-01)