Results 241 to 250 of about 13,426,915 (273)
Risk factor analysis of childhood and adolescent thyroid cancer mediastinal lymph node and distant metastasis. [PDF]
Front OncolZhang R +5 more
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Two-Stage Bayesian Factor Analysis for Air Pollution Source Apportionment and Health Risk Assessment
Bucyibaruta G +6 more
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Psychometrika, 1965
A distinction is made between statistical inference and psychometric inference in factor analysis. After reviewing Rao's canonical factor analysis (CFA), a fundamental statistical method of factoring, a new method of factor analysis based upon the psychometric concept of generalizability is described.
Kaiser, Henry F., Caffrey, J.
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A distinction is made between statistical inference and psychometric inference in factor analysis. After reviewing Rao's canonical factor analysis (CFA), a fundamental statistical method of factoring, a new method of factor analysis based upon the psychometric concept of generalizability is described.
Kaiser, Henry F., Caffrey, J.
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Heteroscedastic factor analysis
Biometrika, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lewin-Koh, S.-C., Amemiya, Y.
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Analytical Chemistry, 2001
Bilinear data matrices may be resolved into abstract factors by factor analysis. The underlying chemical processes that generated the data may be deduced from the abstract factors by hard (model fitting) or soft (model-free) analyses. We propose a novel approach that combines the advantages of both hard and soft methods, in that only a few parameters ...
Mason, Caroline +2 more
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Bilinear data matrices may be resolved into abstract factors by factor analysis. The underlying chemical processes that generated the data may be deduced from the abstract factors by hard (model fitting) or soft (model-free) analyses. We propose a novel approach that combines the advantages of both hard and soft methods, in that only a few parameters ...
Mason, Caroline +2 more
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Psychometrika, 1970
A model is presented for factor analysing scores on a set of psychological tests administered as both pre- and postmeasures in a study of change. The model assumes that the same factors underlie the tests on each occasion, but that factor scores as well as factor loadings may change between occasions.
Corballis, M. C., Traub, R. E.
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A model is presented for factor analysing scores on a set of psychological tests administered as both pre- and postmeasures in a study of change. The model assumes that the same factors underlie the tests on each occasion, but that factor scores as well as factor loadings may change between occasions.
Corballis, M. C., Traub, R. E.
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Statistical Papers, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kosfeld, Reinhold +1 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kosfeld, Reinhold +1 more
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Regression and Factor Analysis
Biometrika, 1973SUMMARY A basic model of factor analysis is employed in the estimation of multiple correlation coefficients and partial regression weights. Estimators are derived for situations in which some or all of the independent variates are subject to errors in measurement.
Lawley, D. N., Maxwell, A. E.
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Multivariate Behavioral Research, 1968
-When a set of variables cannot be regarded as being drawn from a well defined population, the estimation of communalities, population parameters, and universe factors is not a rational undertaking. A descriptive factor analysis can be performed by weighting test vectors inversely as the components of total test variance unable to determine a test ...
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-When a set of variables cannot be regarded as being drawn from a well defined population, the estimation of communalities, population parameters, and universe factors is not a rational undertaking. A descriptive factor analysis can be performed by weighting test vectors inversely as the components of total test variance unable to determine a test ...
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Neural Computation, 1999
We introduce the independent factor analysis (IFA) method for recovering independent hidden sources from their observed mixtures. IFA generalizes and unifies ordinary factor analysis (FA), principal component analysis (PCA), and independent component analysis (ICA), and can handle not only square noiseless mixing but also the general case where the ...
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We introduce the independent factor analysis (IFA) method for recovering independent hidden sources from their observed mixtures. IFA generalizes and unifies ordinary factor analysis (FA), principal component analysis (PCA), and independent component analysis (ICA), and can handle not only square noiseless mixing but also the general case where the ...
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