Results 11 to 20 of about 45,215,530 (368)
Phylogenetic Factor Analysis [PDF]
Systematic Biology, 2017 51 pages (42 main, 9 supplemental), 9 figures (5 main, 4 supplemental), 4 tables (2 main, 2 supplemental), submitted to Systematic ...
Tolkoff, Max R. +4 more
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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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Spurious Factor Analysis [PDF]
Econometrica, 2021 This paper draws parallels between the principal components analysis of factorless high‐dimensional nonstationary data and the classical spurious regression. We show that a few of the principal components of such data absorb nearly all the data variation.
Onatskiy, Alexey, Wang, Chen
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Perceptual evaluation of improved cheongsam style design based on TOPSIS model
Xi'an Gongcheng Daxue xuebao, 2022 In order to design the modified cheongsam in line with the target consumer groups, nine design elements were selected from three aspects: sleeve type, garment length and hem, with 20 modified cheongsam stimulation maps were drawn, and 10 pairs of ...
ZHOU Jie, WAN Qing, WANG Sijia
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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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Comparison of the Efficiency of Overcoming the Crisis of Russian and Foreign Oil and Gas Companies
Финансы: теория и практика, 2023 The purpose of the study was to evaluate the performance of large domestic and foreign oil and gas companies based on a factor analysis of the return on equity in the context of financial and economic crises. The relevance of the topic is due, on the one
I. V. Filimonova +3 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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Sparse Exploratory Factor Analysis [PDF]
, 2017 Sparse principal component analysis is a very active research area in the last decade. It produces component loadings with many zero entries which facilitates their interpretation and helps avoid redundant variables.
A Edelman +21 more
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Guan'gai paishui xuebao, 2021 【Objective and objective】 Soil aggregate is a function unit commonly used to describe the impact of soil structure on soil fertility and quality. It is temporally dynamic, modulated by a myriad of biotic and abiotic factors such as wetting-drying cycles ...
HAN Xiao +3 more
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Using temporal correlation in factor analysis for reconstructing transcription factor activities [PDF]
, 2008 Two-level gene regulatory networks consist of the transcription factors (TFs) in the top level and their regulated genes in the second level. The expression profiles of the regulated genes are the observed high-throughput data given by experiments such ...
Pournara, Iosifina, Wernisch, Lorenz
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