Abstract
We present a prediction method for ordinal partial least squares and or-
dinal consistent partial least squares. Both are variance-based estimators similar to
partial least squares path modeling and consistent partial least squares, but take into
account the non-metric scale of ordinal categorical indicators.
dinal consistent partial least squares. Both are variance-based estimators similar to
partial least squares path modeling and consistent partial least squares, but take into
account the non-metric scale of ordinal categorical indicators.
Original language | English |
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Title of host publication | Smart Statistics for Smart Applications |
Subtitle of host publication | Book of Short Papers SIS2019 |
Editors | Giuseppe Arbia, Stefano Peluso, Alessia Pini, Giulia Rivellini |
Publisher | Pearson |
Pages | 725-730 |
Number of pages | 6 |
ISBN (Print) | 9788891915108 |
Publication status | Published - 2019 |
Event | Smart Statistics for Smart Applications 2019 - Università Cattolica del Sacro Cuore, Milano, Italy Duration: 19 Jun 2019 → 21 Jun 2019 http://meetings3.sis-statistica.org/index.php/SIS2019/sis2019/ |
Conference
Conference | Smart Statistics for Smart Applications 2019 |
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Abbreviated title | SIS 2019 |
Country/Territory | Italy |
City | Milano |
Period | 19/06/19 → 21/06/19 |
Internet address |
Keywords
- 2024 OA procedure