Results 11 to 20 of about 13,426,915 (273)
Engineering Management in Production and Services, 2021 Factor analysis is a standard statistical technique for reducing data dimensionality, which is widely used in sociology, psychology, and demography. Also, financial and insurance institutions commonly use such a technique for marketing research.
Jurczak Jolanta, Jurczak Grzegorz
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Multi-Study Factor Analysis [PDF]
Biometrics, 2018 AbstractWe introduce a novel class of factor analysis methodologies for the joint analysis of multiple studies. The goal is to separately identify and estimate (1) common factors shared across multiple studies, and (2) study-specific factors. We develop an Expectation Conditional-Maximization algorithm for parameter estimates and we provide a procedure
De Vito, Roberta +3 more
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Indian Journal of Public Health, 2023 Background: Our aim was to study the regional differences in dietary patterns in India and their association with population-level nutrition-related health indicators such as the prevalence of anemia, overweight, undernutrition, and hyperglycemia ...
Padmanaban Venkatesan +2 more
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Multimodal factor analysis [PDF]
2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), 2015 A multimodal system with Poisson, Gaussian, and multinomial observations is considered. A generative graphical model that combines multiple modalities through common factor loadings is proposed. In this model, latent factors are like summary objects that has latent factor scores in each modality, and the observed objects are represented in terms of ...
Yilmaz, Yasin, Hero, Alfred O.
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Multivariate analysis of post-transition OECD countries in the context of inequality measures
Croatian Operational Research Review, 2023 The aim of this paper is to classify the post-transition OECD countries according to the Gini coefficient for income inequality, the S80/S20 ratio, the income share of the bottom 40% of the population, educational attainment – tertiary education, and ...
Tomislav Korotaj +2 more
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Dispersive analysis of the pion transition form factor [PDF]
, 2014 We analyze the pion transition form factor using dispersion theory. We calculate the singly-virtual form factor in the time-like region based on data for the $e^+e^-\to 3\pi$ cross section, generalizing previous studies on $\omega,\phi\to3\pi$ decays and
Hoferichter, Martin +4 more
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Robust Promin: a method for diagonally weighted factor rotation
Liberabit, 2019 Oblique rotation of factors is usually performed in exploratory factor analysis in order to achieve the best and simplest interpretation of the solution based on the prescribed number of factors.
Urbano Lorenzo-Seva, Pere J. Ferrando
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Designing the model of External Factors for Universitie’s promotion in National and International Rankings [PDF]
پژوهشهای برنامه و توسعه, 2020 The present study aimed at designing the external factors model for promoting universities in national and international Rankings through exploratory mixed method. The statistical population in the qualitative section included policymakers and experts in
mohammad khanazizi +3 more
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Functional factor analysis for periodic remote sensing data [PDF]
, 2012 We present a new approach to factor rotation for functional data. This is achieved by rotating the functional principal components toward a predefined space of periodic functions designed to decompose the total variation into components that are nearly ...
Friedl, Mark +3 more
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Exploratory Bi-Factor Analysis [PDF]
Psychometrika, 2011 Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger. The bi-factor model has a general factor and a number of group factors. The purpose of this article is to introduce an exploratory form of bi-factor analysis.
Robert I. Jennrich, Peter M. Bentler
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