منابع مشابه
Maximum Likelihood Parallel Factor Analysis (mlparafac)
% " " "$ " & $" "$ " "$ " " ' " " " " ( ) "$ * $ " " + " " " " " " ( , & . $ / 0 " " ' "$ $ ' " ' " "$ * ' "$ " " #" '" 1 "$ * ' " " ( ) " " " 2 ' " ( 3 " " "$ ' "$ * " ' " " ' " " " '" " ( ) "$ 4 " / 0 " $ " "$ " " " " '" 5 6 " 6 " $ " & ' "$ " " ' "$ & $ " ' " " $"" ( 3 7 " 8 " " " ' ! " " " ( 9" "$ " " " ' & "$ " ( 3 "$ " " " " ' ' ' "$ ' ( : "$ ' & ' ' " # " ( , & ! " ; < ! "$ " " $ " !( , ...
متن کاملA Penalized Maximum Likelihood Approach to Sparse Factor Analysis
Factor analysis is a popular multivariate analysis method which is used to describe observed variables as linear combinations of hidden factors. In applications one usually needs to rotate the estimated factor loading matrix in order to obtain a more understandable model. In this article, an l1 penalization method is introduced for performing sparse factor analysis in which factor loadings natu...
متن کاملFactor Analysis of Ordinal Variables with Full Information Maximum Likelihood
The basic idea of factor analysis is the following. For a given set of manifest variables x1, . . . , xp one wants to find a set of latent variables ξ1, . . . , ξk, fewer in number than the manifest variables, that contain essentially the same information. The latent variables are supposed to account for the dependencies among the manifest variables in the sense that if the latent variables are...
متن کاملA Reliability Coefficient for Maximum Likelihood Factor Analysis*
Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly simple factor models. A reliability coefficient is proposed to indicate quality of representation of interrelations among attributes in a battery by a maximum likelihood factor analysis. Usually, for a large sample of indiv...
متن کاملMaximum Likelihood in Generalized Fixed Score Factor Analysis
We study the weighted least squares fixed rank approximation problem in which the weight matrices depend on unknown parameters. The classical example is fixed score factor analysis (FSFA), where the weights depend on the unknown uniquenesses.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Researches on Population Ecology
سال: 1970
ISSN: 0034-5466,1438-390X
DOI: 10.1007/bf02511564