Asymptotic distributions of the estimators of communalities in factor analysis
- Masanori Ichikawa
DOIAbstract
factor analysis, communality, asymptotic distribution, maximum likelihood method, Monte Carlo,
factor analysis, communality, asymptotic distribution, maximum likelihood method, Monte Carlo,
In this paper, the authors obtained asymptotic expressions for the joint distributions of certain fu...
Likelihood ratio criterion, asymptotic expansion, homogeneity of parameters, asymptotic independence...
The asymptotic theory of estimators obtained from estimating functions is re-viewed and some new res...
factor analysis, Communality, squared multiple correlation, upper bound, lower bound, eigenvalue,
In the paper we develop an approach to asymptotic normality through factorial cumulants. Factorial c...
Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7 Rome / CNR - Consiglio ...
For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an ob...
AbstractWe derive asymptotic expansions for the distributions of the normal theory maximum likelihoo...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
AbstractAsymptotic expansions of the distributions of parameter estimators in mean and covariance st...
We find limit theorems regarding asymptotic distribution of density ratios. These results are applie...
This paper presents heuristic explanations of factor scores, structure coefficients, and communality...
AbstractA canonical decomposition of two factor spaces obtained from the same variables observed on ...
© The Author(s), 2020. Published by Cambridge University Press. This paper establishes central limit...
The Asymptotic Distribution of the Estimated Conditional Mode at a Finite Number of Distinct Points ...
In this paper, the authors obtained asymptotic expressions for the joint distributions of certain fu...
Likelihood ratio criterion, asymptotic expansion, homogeneity of parameters, asymptotic independence...
The asymptotic theory of estimators obtained from estimating functions is re-viewed and some new res...
factor analysis, Communality, squared multiple correlation, upper bound, lower bound, eigenvalue,
In the paper we develop an approach to asymptotic normality through factorial cumulants. Factorial c...
Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7 Rome / CNR - Consiglio ...
For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an ob...
AbstractWe derive asymptotic expansions for the distributions of the normal theory maximum likelihoo...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
AbstractAsymptotic expansions of the distributions of parameter estimators in mean and covariance st...
We find limit theorems regarding asymptotic distribution of density ratios. These results are applie...
This paper presents heuristic explanations of factor scores, structure coefficients, and communality...
AbstractA canonical decomposition of two factor spaces obtained from the same variables observed on ...
© The Author(s), 2020. Published by Cambridge University Press. This paper establishes central limit...
The Asymptotic Distribution of the Estimated Conditional Mode at a Finite Number of Distinct Points ...
In this paper, the authors obtained asymptotic expressions for the joint distributions of certain fu...
Likelihood ratio criterion, asymptotic expansion, homogeneity of parameters, asymptotic independence...
The asymptotic theory of estimators obtained from estimating functions is re-viewed and some new res...
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