PLS Models

Giuseppe Boari; Gabriele Cantaluppi

doi:10.1002/9781119961154.ch16

PLS Models

Giuseppe Boari
, Gabriele Cantaluppi

Risultato della ricerca: Contributo in libro › Capitolo

Abstract

The Chapter deals with the Partial Least Squares (PLS) estimation algorithm and its use in the context of Structural Equation Models with Latent Variables (SEM-LV). After a short description of the general structure of SEM-LV models, the PLS algorithm is introduced; then, statistical and geometrical interpretations of PLS are given. A detailed application example based on the ABC Annual Customer Satisfaction Survey (ACSS) data concludes the Chapter.

Lingua originale	Inglese
Titolo della pubblicazione ospite	Modern Analysis of Customer Surveys: With Applications using R
Editor	SILVIA SALINI, Ron S Kenett
Pagine	309-332
Numero di pagine	24
DOI	https://doi.org/10.1002/9781119961154.ch16
Stato di pubblicazione	Pubblicato - 2012

Keywords

PLS
STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES

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10.1002/9781119961154.ch16

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title = "PLS Models",

abstract = "The Chapter deals with the Partial Least Squares (PLS) estimation algorithm and its use in the context of Structural Equation Models with Latent Variables (SEM-LV). After a short description of the general structure of SEM-LV models, the PLS algorithm is introduced; then, statistical and geometrical interpretations of PLS are given. A detailed application example based on the ABC Annual Customer Satisfaction Survey (ACSS) data concludes the Chapter.",

keywords = "PLS, STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES, PLS, STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES",

author = "Giuseppe Boari and Gabriele Cantaluppi",

year = "2012",

doi = "10.1002/9781119961154.ch16",

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AU - Cantaluppi, Gabriele

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AB - The Chapter deals with the Partial Least Squares (PLS) estimation algorithm and its use in the context of Structural Equation Models with Latent Variables (SEM-LV). After a short description of the general structure of SEM-LV models, the PLS algorithm is introduced; then, statistical and geometrical interpretations of PLS are given. A detailed application example based on the ABC Annual Customer Satisfaction Survey (ACSS) data concludes the Chapter.

KW - PLS

KW - STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES

KW - PLS

KW - STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES

UR - http://hdl.handle.net/10807/13159

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DO - 10.1002/9781119961154.ch16

M3 - Chapter

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BT - Modern Analysis of Customer Surveys: With Applications using R

A2 - SALINI, SILVIA

A2 - Kenett, Ron S

ER -

PLS Models

Abstract

Keywords

Accesso al documento

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