THE INVESTIGATION OF THE RELATIONSHIP BETWEEN SOCIAL AND ECONOMIC INDICATORS BY CANONICAL CORRELATION AND PARTIAL CANONICAL CORRELATION ANALYSIS FOR EU AND OTHER DEVELOPED COUNTRIE... by Ceren Ünal, Hüseyin Tatlıdil

“…Canonicalcorrelation analysis, which is one of the multivariate statistical methods, isan alternative to multivariate regression analysis and it reveals therelationship between the variable sets. …”
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Fatores que determinam o desenvolvimento rural nas microrregiões do Brasil by Alysson Luiz Stege, José Luiz Parré

“…By using the technique of multivaried statistics, more specifically the factorial analysis, a synthetic index is produced, the rural development index, which will be used for the 558 Brazilian microregions. …”
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Television viewing and personality needs of South African adolescents by Daan van Vuuren, J .J. de Beer, S.H.C. du Toit

“…Based on a large scale South African study of the influence of television on school-going children, the data of approximately 2 000 adolescents, retested from their 12th to 18th year, are used. Multivariate statistical techniques, e.g. profile analysis, were used to analyze the data obtained by various psychometric instruments and questionnaires. …”
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Preliminary Compositional Evidence of Provenance of Ceramics from Hatahara Archaeological Site, Central Amazonia by K. P. Nunes, R. G. Toyota, P. M. S. Oliveira, E. G. Neves, E. A. A. Soares, C. S. Munita

“…The dataset was submitted to multivariate statistical analysis. The classification was done by cluster analysis and discriminant analysis. …”
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Semiadaptive Fault Diagnosis via Variational Bayesian Mixture Factor Analysis with Application to Wastewater Treatment by Hongjun Xiao, Yiqi Liu, Daoping Huang

“…The proposed method is capable of capturing strong nonlinearity and the significant dynamic feature of WWTPs that seriously limit the application of conventional multivariate statistical methods for fault diagnosis implementation. …”
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Fault Feature Research of Rolling Bearing based on Empirical Mode Decomposition and Principle Component Analysis by Zheng Xin

“…It is proposed that a fault diagnosis method for rolling bearing based on empirical mode decomposition（ EMD） and multivariate statistical process control（ MSPC）,the Hilbert- Huang transformation and principal component analysis（ PCA） are combined effectively in this method. …”
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Activities in the Context of a Network, Trust and Internal Resources as Antecedents of the Effectiveness of Network Governance: a Study of the Impact on the Performance of the Comp... by Henrique Cordeiro Martins, Lucas Araújo Bassalo de Siqueira, José Antônio Sousa Neto

“…To this end, 181 companies linked to the FIEMG-MG were surveyed in a quantitative and descriptive analysis in which multivariate statistical analysis was used to analyse the data. …”
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GIS based ground water assessment of Nilakkottai Taluk, Tamil Nadu, India: hydrogeochemistry and statistical perspective by Umamageswari T.S.R

“…In order to ascertain the quality of the study area’s groundwater, various water quality indices, spatial distribution maps, multivariate statistical analysis, and hydrofacies diagrams have been contemplated. 40 samples were collected and analysed for 20 water quality parameters, using the standard techniques. …”
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Assessment of borehole water quality in Nwadzekudzeku village, Giyani, Limpopo Province, South Africa: Implication for potential human health risks by Tsakane Patience Maluleke, Sifelani Dube, Emmanuel Daanoba Sunkari, Abayneh Ataro Ambushe

“…A multi-methods approach involving water quality analysis, geospatial mapping, multivariate statistical analysis, and human health risk analysis were employed in this study. …”
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On the “Periphery” of the Neolithic: hunter-gatherers of Europe by Ekaterina V. Dolbunova, Andrey N. Mazurkevich

“…The first results of multivariate statistical analysis of Early Neolithic pottery assemblages of Eastern Europe are presented. …”
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Housing Sources of Second-Tier Urban Residents Based on Multivariate Correspondence by Feng Zhang, Anlin Li

“…Also known as corresponding analysis, it is a multivariate statistical analysis method that aims to describe the relationship between two classification variables in a corresponding table in a low-dimensional space. …”
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Non-hierarchic document clustering by Gareth Jones, Alexander M. Robertson, Chawchat Santimetvirul, Peter Willett

“…Cluster analysis, or automatic classification, is a multivariate statistical technique that seeks to identify groups, or clusters, of similar objects in a multi-dimensional space. …”
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Time-dependent categorization of volatile aroma compound formation in stewed Chinese spicy beef using electron nose profile coupled with thermal desorption GC–MS detection by Hui Gong, Zhen Yang, Meng Liu, Zhijia Shi, Jiapeng Li, Wenhua Chen, Xiaoling Qiao

“…The volatile profiling by TDS-GC–MS and responses from the electronic nose, in combination with multivariate statistical analysis, are a promising tool for control the cooking process of spiced beef.…”
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Immigration and Regional Competitiveness – Relevant Theories in the Migration Research and in the Regional Science by Tünde Patay

“…The next section focuses, complemented with the outcomes of a multivariate statistical analysis, on the theories on determinants and causalities of migration, exploring the connecting points with the issues of the regional policy.…”
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GC-IMS-Based Preliminary Analysis of Volatile Flavor Compounds in Ejiao at Different Processing Stages by Ning Ma, Rui Guan, Rentang Zhao, Yue Geng

“…The differences among these stages were analyzed using multivariate statistical analysis, and the mechanism underlying volatile flavor compound formation was explored by discriminant analysis of Ejiao at different processing stages. …”
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Longitudinal investigation of mineral composition in human milk and its correlation with infant anthropometric outcomes among Tibetan mother-infant dyads during the first 6 months... by Xiaomei Zhang, Yaling Wang, Junying Zhao, Weicang Qiao, Yanpin Liu, Lijun Chen

“…Besides, a large proportion of infant Z-scores were below −2 as lactation period continued. Multivariate statistical analysis revealed that classifications and correlations in varying degrees were observed between minerals in human milk and infant Z-scores. …”
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Chemotaxonomic Study of Four Subspecies of Pinus nigra Arn. Grown in Common Garden Based on Essential Oil Composition by Sondes Fkiri, Faten Mezni, Ghayth Rigane, Ridha Ben Salem, Hanene Ghazghazi, M. Larbi Khouja, Zouheir Nasr, Abdelhamid Khaldi

“…The chemotaxonomic value of the essential oil compositions was discussed in relation to the results of the multivariate statistical test, including a detailed survey of the available literature data.…”
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Analysis of Influencing Factors of Teaching Effect Based on Structural Equation Model by Xin Xu

“…Structural equation model is a multivariate statistical analysis method. It can not only test some unpredictable abstract ideas, but also design parameters for the causal connection model between independent variables and dependent variables. …”
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THE INTESTINAL INSUFFICIENCY SYNDROME AND THE SYSTEMIC INFLAMMATORY RESPONSE SYNDROME IN ACUTE PERITONITIS IN CHILDREN by Cristina Șerban, Georgiana Bianca Constantin, Daniela Mihalache, Alina Calin, Norin Forna, Mădălin Guliciuc

“…We performed a statistical analysis using the XLSTAT 2017 program, with descriptive analytical methods, univariate and multivariate statistical analytical methods. Results:We analyzed the risk factors that allowed us to propose a prognostic score in assessing the severity of acute peritonitis in children. …”
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An Improved Dual-Kurtogram-Based T2 Control Chart for Condition Monitoring and Compound Fault Diagnosis of Rolling Bearings by Zhiyuan Jiao, Wei Fan, Zhenying Xu

“…A novel method for condition monitoring and compound fault diagnosis based on the dual-kurtogram algorithm and multivariate statistical process control is established in this study. …”
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