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Robust Sparse Canonical Correlation Analysis [PDF]
SSRN Electronic Journal, 2014 Canonical correlation analysis (CCA) is a multivariate statistical method which describes the associations between two sets of variables. The objective is to find linear combinations of the variables in each data set having maximal correlation.
Croux, Christophe, Wilms, Ines
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Examination of Contagion and Oil Price Volatility on Returns of the Stock Market, Exchange Rate and Gold Price in Iran: VAR-DCC-GARCH, Continuous Wavelet, and Time-Varying Wavelet Approach [PDF]
مدلسازی اقتصادسنجی, 2021 The purpose of this study is to investigate the relationship between oil price changes and volatility on stock market, foreign exchange rate, and gold rate, using weekly data from August 2013 to June 2021.
Maryam Nafisi Moghadam, Shahram Fattahi
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Longitudinal canonical correlation analysis
Journal of the Royal Statistical Society Series C: Applied Statistics, 2023 AbstractThis paper considers canonical correlation analysis for two longitudinal variables that are possibly sampled at different time resolutions with irregular grids. We modelled trajectories of the multivariate variables using random effects and found the most correlated sets of linear combinations in the latent space.
Seonjoo Lee +3 more
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Variations in agromorphological characteristics of IPGRI Cowpea (Vigna unguiculata (L.) Walp.) accessions [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 Cowpea (Vigna unguiculata (L.) Walp.) remains an important crop in the tropics. One of its challenges remains the selection and improvement of genotypes to meet location–specific needs.
Ekemini Obok +3 more
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The Cross-correlation Structure of Tehran Stock Exchange Indexes by Multifractal Detrended Fluctuation Analysis [PDF]
تحقیقات مالی, 2012 One of the latest approaches for analyzing the coupled time series is MF-DXA. This technique has been used in many disciplines such as finance. In this paper, we have analyzed Tehran Stock Exchange indexes by MF-DXA and have found a scaling behavior ...
Reza Tehrani +2 more
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Frontiers in Public Health, 2023 BackgroundEssential medicines are the backbone of healthcare and meet the priority healthcare needs of the population. However, approximately one-third of the global population does not have access to essential medicines.
Miao Zhang +54 more
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Effect of Soil Aeration and Root Morphology on Yield under Aerated Irrigation
Agronomy, 2023 Soil compaction easily causes root hypoxia stress, resulting in poor root growth and the absorption of soil water and nutrients. We hypothesized that aerated irrigation (AI) could enhance nutrient uptake and utilization, thus unlocking the high yield ...
Cuicui Jin +6 more
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Measuring entrepreneurship determinants: empirical analysis
Agricultural and Resource Economics, 2021 Purpose. The aim of this article is to assess the main determinants that affect entrepreneurial activity, and also the mechanism of its regulation in five countries (Ukraine, Romania, Lithuania, Poland, Germany) during the period from 2007 to 2018 ...
Viktoriia Kyfyak +3 more
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Acta Agriculturae Slovenica, 2020 Thirty six okra genotypes were evaluated for different agro-morphological and biochemical traits at Melkassa Agricultural Research Center, Ethiopia during 2018 main season using 6 x 6 simple lattice design.
Jemal MOHAMMED +2 more
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Identifying Key Factors Influencing Teaching Quality: A Computational Pedagogy Approach
Systems, 2023 Although previous research has explored the correlation between teacher characteristics and teaching quality, effective methods for identifying key factors that influence teaching quality are still lacking.
Dunhong Yao, Jing Lin
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