Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Nonlinear factor analysis"”.
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Advances in variational Bayesian nonlinear blind source separation
Linear data analysis methods such as factor analysis (FA), independent component analysis (ICA) and blind source separation (BSS) as well as state-space models such as the Kalman filter model are used in a wide range of applications. In many of these, linearity is just a convenient approximation …
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Assessing measurement invariance in long and short forms of the BIS/BAS scales across demographic subgroups with validation via impulsivity and internalizing and externalizing problem scales.
… Development (ABCD) Study. Using confirmatory factor analysis (CFA) and moderated nonlinear factor analysis (MNLFA), we tested and corrected for measurement invariance. External validation of adjusted factor scores (correcting for measurement error) via correlational analyses with related …
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Sinbad Automation Of Scientific Process: From Hidden Factor Analysis To Theory Synthesis
… which challenges the existing methods of data analysis and interpretation. Consequently, there is a pressing need for development of ever more powerful methods of extracting order from complex data and for automation of all steps of the scientific process. Virtual Scientist is a set of …
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Latent variable interaction in structural equation models
This study investigated moderated regression analysis using latent variables. Interactive psychological theories, the stress-buffering hypothesis, and interaction in regression and structural equation models, were reviewed. Moderated regression was recast using latent variables to accommodate …
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Information Measures For Statistical Orbit Determination
… statistical information, we propose the use of nonlinear estimation methods such as the Particle Filter. A Particle Filter (PF) is proposed as a nonlinear filtering technique that is capable of propagating and estimating a more complete representation of the state distribution as an accurate …