𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Encyclopedia of Statistical Sciences || Partial Least Squares

✍ Scribed by Kotz, Samuel; Read, Campbell B.; Balakrishnan, N.; Vidakovic, Brani; Johnson, Norman L.

Book ID
120009480
Publisher
John Wiley & Sons, Inc.
Year
2006
Weight
141 KB
Volume
10.1002/0471667196
Category
Article
ISBN-13
9780471667193

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Handbook of Partial Least Squares || Edi
Handbook of Partial Least Squares || Editorial: Perspectives on Partial Least Squares
✍ Esposito Vinzi, Vincenzo; Chin, Wynne W.; Henseler, JΓΆrg; Wang, Huiwen πŸ“‚ Article πŸ“… 2009 πŸ› Springer Berlin Heidelberg 🌐 German βš– 481 KB

Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of

Significance regression: a statistical a
Significance regression: a statistical approach to partial least squares
✍ Tyler R. Holcomb; HΓ₯kan Hjalmarsson; Manfred Morari; Matthew L. Tyler πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 409 KB πŸ‘ 2 views

This paper presents a formal framework for deriving partial least squares algorithms from statistical hypothesis testing. This new formulation, significance regression (SR), leads to partial least squares for scalar output problems (PLS1), to a close approximation of a common multivariable partial l