Results 11 to 20 of about 13,519,209 (293)

Application of factor analysis in company management – selected examples related to competitiveness and market success

open access: yesEngineering 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
doaj   +1 more source

Multi-Study Factor Analysis [PDF]

open access: yesBiometrics, 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
openaire   +8 more sources

Association of dietary patterns and health outcomes by spatial regression analysis of nationally representative survey data from India

open access: yesIndian 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
doaj   +1 more source

Multimodal factor analysis [PDF]

open access: yes2015 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.
openaire   +2 more sources

Multivariate analysis of post-transition OECD countries in the context of inequality measures

open access: yesCroatian 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
doaj   +1 more source

Factor Analysis of Moving Average Processes [PDF]

open access: yes, 2015
The paper considers an extension of factor analysis to moving average processes. The problem is formulated as a rank minimization of a suitable spectral density.
Sepulchre, Rodolphe, Zorzi, Mattia
core   +1 more source

Factor Analysis: Chisquare as Rotation Criterion [PDF]

open access: yes, 2008
The rotation problem in factor analysis consists in finding an orthogonal transformation of the initial factor loadings so that the rotated loadings have a simple structure that can be easily interpreted.
Knüsel, Leo
core   +1 more source

Robust Promin: a method for diagonally weighted factor rotation

open access: yesLiberabit, 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
doaj   +1 more source

Designing the model of External Factors for Universitie’s promotion in National and International Rankings [PDF]

open access: yesپژوهش‌های 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
doaj   +1 more source

Algebraic Factor Analysis: Tetrads, Pentads and Beyond [PDF]

open access: yes, 2006
Factor analysis refers to a statistical model in which observed variables are conditionally independent given fewer hidden variables, known as factors, and all the random variables follow a multivariate normal distribution.
Drton, Mathias   +2 more
core   +1 more source

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