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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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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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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Effect of fermented bee pollen on metabolic syndrome in high-fat diet-induced mice by Sha Yan, Kai Wang, Xiaoying Wang, Aiqun Ou, Feiran Wang, Liming Wu, Xiaofeng Xue

“…The results of animal experiment showed that YB intervention attenuated MetS. Based on multivariate statistical analysis results, YB treatment significantly increased glutathione S-transferase (GST) and catalase (CAT) activities and decreased the malondialdehyde (MDA) level in the liver. …”
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Underlying anti-hypertensive mechanism of the Mizuhopecten yessoensis derived peptide NCW in spontaneously hypertensive rats via widely targeted kidney metabolomics by Wenjun Xue, Wenzhu Zhao, Sijia Wu, Zhipeng Yu

“…This study established a UPLC-Q-TRAP-MS/MS-based widely targeted kidney metabolomics approach to explore the changes of kidney metabolic profiles and to clarify the anti-hypertensive mechanism of peptide NCW in spontaneously hypertensive rats (SHRs). Multivariate statistical analysis indicated that the kidney metabolic profiles were clearly separated between the SHR-NCW and SHR-Untreated groups. …”
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Metabolomic Analysis of the Chemical Composition of Chongjue Luohan Tea by QIAN Yuanfeng, YANG Gaozhong, XU Weilin, XU Guodong, DENG Huifang, LAN Bingying, LIN Zhi, LÜ Haipeng

“…In addition, a total of 206 secondary metabolites were identified in Luohan tea, including flavonoids (71), amino acids and their derivatives (31), organic acids (24), nucleotides and their derivatives (19), phenolic acids (16), alkaloids (12), and saccharides and their derivatives (7). Multivariate statistical analysis pinpointed 46 differential metabolites. …”
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Application of Principal Component Analysis for Steel Material Components by Miran Othman Tofiq, Kawa Muhammad Jamal Rasheed

“…In this research, we made use of the principal component analysis (PCA) technique, which is a multivariate statistical method that transforms a fixed number of correlated variables into a fixed number of orthogonal, uncorrelated axes known as principal components by making use of orthogonal transformation. …”
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Provenancing ancient materials with lead isotopes: overlap uncovered by Sarah De Ceuster, Jurian Hoogewerff, Patrick Degryse

“…However, it has never been comprehensively studied using a multivariate statistical approach. In this paper, the kernel density estimation (KDE) approach previously proposed by the authors is applied to calculate overlap between possible ore source regions. …”
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