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Nonlinear Factor Analysis as a Statistical Method
Author(s) -
Ilker Yalcin,
Yasuo Amemiya
Publication year - 2001
Publication title -
statistical science
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 2.204
H-Index - 108
eISSN - 2168-8745
pISSN - 0883-4237
DOI - 10.1214/ss/1009213729
Subject(s) - computer science , nonlinear system , goodness of fit , econometrics , factor analysis , linear model , exploratory factor analysis , multivariate statistics , parametric statistics , univariate , parametric model , factor (programming language) , identification (biology) , statistical model , machine learning , statistics , mathematics , structural equation modeling , physics , quantum mechanics , programming language , botany , biology

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