Complex Redundancy Analysis models with covariate effect: a simulation study

P. C. Pafundi; Gianmarco Vacca

Complex Redundancy Analysis models with covariate effect: a simulation study

^*Corresponding author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The focus of the present work are Structural Equation Models in the Redundancy Analysis framework (SEM-RA) and, in particular, the extension of Redundancy Analysis to more than two sets of variables, with the recently developed Extended Redundancy Analysis as the major outline. Drawbacks of the model in presence of concomitant indicators will be highlighted, thus introducing a further extension, Generalized Redundancy Analysis, whose introduction will be motivated, along with a simulation study aimed to assess the performance of the model, in three path diagrams at increasing complexity.

Original language	English
Title of host publication	47th Scientific Meeting of the Italian Statistical Society - p r o c e e d i n g s
Pages	N/A
Publication status	Published - 2014
Event	47th Scientific Meeting of the Italian Statistical Society - Cagliari Duration: 11 Jun 2014 → 13 Jun 2014

Conference

Conference	47th Scientific Meeting of the Italian Statistical Society
City	Cagliari
Period	11/6/14 → 13/6/14

Keywords

Redundancy Analysis, Structural Equation Modelling, Component Analysis

Cite this

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title = "Complex Redundancy Analysis models with covariate effect: a simulation study",

abstract = "The focus of the present work are Structural Equation Models in the Redundancy Analysis framework (SEM-RA) and, in particular, the extension of Redundancy Analysis to more than two sets of variables, with the recently developed Extended Redundancy Analysis as the major outline. Drawbacks of the model in presence of concomitant indicators will be highlighted, thus introducing a further extension, Generalized Redundancy Analysis, whose introduction will be motivated, along with a simulation study aimed to assess the performance of the model, in three path diagrams at increasing complexity.",

keywords = "Redundancy Analysis, Structural Equation Modelling, Component Analysis, Redundancy Analysis, Structural Equation Modelling, Component Analysis",

author = "Pafundi, {P. C.} and Gianmarco Vacca",

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AU - Pafundi, P. C.

AU - Vacca, Gianmarco

PY - 2014

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N2 - The focus of the present work are Structural Equation Models in the Redundancy Analysis framework (SEM-RA) and, in particular, the extension of Redundancy Analysis to more than two sets of variables, with the recently developed Extended Redundancy Analysis as the major outline. Drawbacks of the model in presence of concomitant indicators will be highlighted, thus introducing a further extension, Generalized Redundancy Analysis, whose introduction will be motivated, along with a simulation study aimed to assess the performance of the model, in three path diagrams at increasing complexity.

AB - The focus of the present work are Structural Equation Models in the Redundancy Analysis framework (SEM-RA) and, in particular, the extension of Redundancy Analysis to more than two sets of variables, with the recently developed Extended Redundancy Analysis as the major outline. Drawbacks of the model in presence of concomitant indicators will be highlighted, thus introducing a further extension, Generalized Redundancy Analysis, whose introduction will be motivated, along with a simulation study aimed to assess the performance of the model, in three path diagrams at increasing complexity.

KW - Redundancy Analysis, Structural Equation Modelling, Component Analysis

UR - http://hdl.handle.net/10807/120347

M3 - Conference contribution

SN - 978-88-8467-874-4

SP - N/A

BT - 47th Scientific Meeting of the Italian Statistical Society - p r o c e e d i n g s

T2 - 47th Scientific Meeting of the Italian Statistical Society

Y2 - 11 June 2014 through 13 June 2014

ER -

Complex Redundancy Analysis models with covariate effect: a simulation study

Abstract

Conference

Keywords

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