Pages that link to "Item:Q1081250"

The following pages link to A Gauss-Newton algorithm for exploratory factor analysis (Q1081250):

Displaying 11 items.

• Factor analysis with EM algorithm never gives improper solutions when sample covariance and initial parameter matrices are proper (Q358517) (← links)
• Noniterative estimation and the choice of the number of factors in exploratory factor analysis (Q809512) (← links)
• Algorithms for unweighted least-squares factor analysis (Q1351855) (← links)
• Conjugate gradient methods in confirmatory factor analysis (Q1361523) (← links)
• The asymptotic covariance matrix of maximum-likelihood estimates in factor analysis: The case of nearly singular matrix of estimates of unique variances (Q1595146) (← links)
• Local identifiability of the factor analysis and measurement error model parameter (Q1907606) (← links)
• A note on exploratory item factor analysis by singular value decomposition (Q2220369) (← links)
• Zig-zag exploratory factor analysis with more variables than observations (Q2255768) (← links)
• A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis (Q2445788) (← links)
• A Simplified Newton Method for Computing the Factor Loadings in Maximum Likelihood Factor Analysis (Q3742517) (← links)
• A Matrix-Free Likelihood Method for Exploratory Factor Analysis of High-Dimensional Gaussian Data (Q5066017) (← links)