This paper deals with a crucial problem of models with latent variables, the indeterminacy of the latent variables. Indeterminacy of the latent variables has the consequence that it is in most cases impossible to attach a real meaning to this variables. Particularly the common factor analysis model, models with error in the variables and the Lisrel model are analysed. An alternative method which resolves the indeterminacy of the latent variables is presented
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
This study is done to define the application of factor analysis based on principle components, to ec...
Latent variable models posit that an unobserved, or latent, set of variables describe the statistica...
The Lisrel model (LM), a linear model for the analysis of the causal relationships between two sets ...
Abstract This paper reviews indeterminacy problems for the factor analysis model and their conseque...
textabstractAbstract This paper reviews indeterminacy problems for the factor analysis model and th...
The aim of this paper is to propose a general nonparametric model to estimate latent variables with ...
The aim of this paper is to propose a general nonparametric model to estimate latent variables with ...
The main topic of this thesis is the analysis of static and dynamic models in which some variables, ...
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor a...
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor a...
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor a...
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
This study is done to define the application of factor analysis based on principle components, to ec...
Latent variable models posit that an unobserved, or latent, set of variables describe the statistica...
The Lisrel model (LM), a linear model for the analysis of the causal relationships between two sets ...
Abstract This paper reviews indeterminacy problems for the factor analysis model and their conseque...
textabstractAbstract This paper reviews indeterminacy problems for the factor analysis model and th...
The aim of this paper is to propose a general nonparametric model to estimate latent variables with ...
The aim of this paper is to propose a general nonparametric model to estimate latent variables with ...
The main topic of this thesis is the analysis of static and dynamic models in which some variables, ...
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor a...
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor a...
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor a...
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
This study is done to define the application of factor analysis based on principle components, to ec...