.png){kind=icon}
Return
NEW METHODS IN MAXIMUM LIKELIHOOD FACTOR ANALYSIS
.png){kind=icon}
PRE
AI
DOI：10.1111/j.2044-8317.1968.tb00399.x.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Until recently the main difficulty in the use of maximum‐likelihood estimation in factor analysis has been the lack of satisfactory methods of obtaining numerical solutions. This defect has now been remedied, and this paper describes new rapid methods of finding maximum‐likelihood estimates.
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
No journal information available
Organization
No organization information available
Cited Papers
No cited papers available