EVALUATION OF CANE SUGAR PRODUCTION USING MULTIVARIATE STATISTICAL METHODS by Bruno José Chiaramonte de Castro, Andre Bernardo

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Analysis of Hydrogeochemical Characteristics of Tunnel Groundwater Based on Multivariate Statistical Technology by Chen Peng, Yuanming Liu, Huiyu Chen, Qiaowei Yuan, Qingzhi Chen, Shilong Mei, Zhonghu Wu

“…Based on five sets of 38 samples collected in the Tongzi Tunnel in 2020 and 2021, the main geochemical processes and water quality conditions of the karst aquifer system during tunnel construction were revealed by multivariate statistical analysis and graphical methods. The results showed that water-rock action is the main mechanism controlling groundwater chemistry in the study area; HCO3-, Ca2+, and Mg2+ are associated with the widely distributed carbonate rocks in the study area. …”
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Application of ATR-FTIR spectroscopy and multivariate statistical analysis in cancer diagnosis by Ao Song, Wanli Yang, Jun Wang, Yisa Cai, Lizheng Cai, Nan Pang, Ruihua Yu, Zhikun Liu, Chao Yang, Feng Jiang

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Investigation of the Soan River Water Quality Using Multivariate Statistical Approach by Zakaullah, Naeem Ejaz

“…., premonsoon and postmonsoon 2019. Multivariate statistical approaches such as the Spearman correlation coefficient, cluster analysis (CA), and principal component analysis (PCA) were used to evaluate the water quality of the Soan River based on temporal and spatial patterns. …”
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Predicting competitive alpine skiing performance by multivariable statistics—the need for individual profiling by Robert Nilsson, Apostolos Theos, Ann-Sofie Lindberg, Christer Malm

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Using multivariate statistical analysis to study the ecological and geochemical properties of soils in Blagoveshchensk (Russia) by V.I. Radomskaya, D.V. Yusupov, L.M. Pavlova, A.G. Sergeeva, E.N. Voropaeva

“…In order to determine stable geochemical associations of pollutants in the soil cover, various geochemical methods and multivariate statistical analysis have been used. Having processed the geochemical data on the soil by the methods of multivariate statistical analysis, we have revealed with a high degree of reliability the cause-and-effect relations between the geochemical characteristics of urban soils and the potential sources of their contamination. …”
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Cloud-Integrated Meteorological Parameter Prediction by Leveraging Multivariate Statistical Time Series and GANs by Archana Rout, Biswa Ranjan Senapati, Debahuti Mishra

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Application of Multivariate Statistical Analysis in Evaluation of Surface River Water Quality of a Tropical River by Teck-Yee Ling, Chen-Lin Soo, Jing-Jing Liew, Lee Nyanti, Siong-Fong Sim, Jongkar Grinang

“…The present study evaluated the spatial variations of surface water quality in a tropical river using multivariate statistical techniques, including cluster analysis (CA) and principal component analysis (PCA). …”
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Evaluation of Groundwater for Arsenic Contamination Using Hydrogeochemical Properties and Multivariate Statistical Methods in Saudi Arabia by Abdullah S. Al-Farraj, Mohammad I. Al-Wabel, Mohamed Hamza El-Saeid, Ahmed H. El-Naggar, Zaheer Ahmed

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Preharvest Factors Affecting Quality on “Abate Fetel” Pears: Study of Superficial Scald with Multivariate Statistical Approach by Alessandro Bonora, Enrico Muzzi, Cristiano Franceschini, Alexandra Boini, Gianmarco Bortolotti, Kushtrim Bresilla, Giulio Demetrio Perulli, Melissa Venturi, Luigi Manfrini, Luca Corelli Grappadelli

“…In this study, we aimed to improve our understanding of the effect of different preharvest factors on SS development using a multivariate statistical approach. Pears (Pyrus communis L.) cv “Abate Fetel” were picked during two consecutive seasons (2018-2019 and 2019-2020) from twenty-three commercial orchards from three growing areas (Modena, Ferrara, and Ravenna provinces) in the Emilia-Romagna region of Italy. …”
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Correlation between the Quality of Talent Training and Regional Economic Development Based on Multivariate Statistical Analysis Model by Yana Yuan

“…This paper incorporates machine learning algorithms to construct a multivariate statistics analysis model based on the correlation analysis model between talent training quality and regional economic development. …”
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Crude Oil Source Identification of Asphalt via ATR-FTIR Approach Combined with Multivariate Statistical Analysis by Ruibo Ren, Wenmiao Fan, Pinhui Zhao, Hao Zhou, Weikun Meng, Ping Ji

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Multivariate Statistics and Supervised Learning for Predictive Detection of Unintentional Islanding in Grid-Tied Solar PV Systems by Shashank Vyas, Rajesh Kumar, Rajesh Kavasseri

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Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach by Chen-Lin Soo, Cheng-Ann Chen, Shabdin Mohd-Long

“…The study on Sarawak coastal water quality is scarce, not to mention the application of the multivariate statistical approach to investigate the spatial variation of water quality and to identify the pollution source in Sarawak coastal water. …”
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Characterization of terpenoids and norisoprenoids from base and retail Qingke Baijiu by GC × GC-TOFMS and multivariate statistical analysis by Xinlei Wang, Lin Zhu, Xuebo Song, Si Jing, Fuping Zheng, Mingquan Huang, Shengbao Feng, Luzhong La

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Multivariate Statistical Analyses of the Temporal Variation in the Chemical Composition of the Essential Oil of <i>Eucalyptus torquata</i> in Cyprus by Mustapha Bulama Modu, Duygu Yiğit Hanoğlu, Azmi Hanoğlu, Fehmi Burak Alkaş, K. Hüsnü Can Başer, Dudu Özkum Yavuz

“…The aim of this study was to investigate the possible seasonal variations in the chemical composition of the essential oils of juvenile and mature leaves collected from Nicosia, Cyprus, by using multivariate statistical analysis. The leaves of 12 monthly collections were separately hydrodistilled, and GC-FID and GC/MS analyses were conducted. …”
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Evaluation of hydro-chemical facies and surface water quality dynamics using multivariate statistical approaches in Southern Nigeria by E. A Ubuoh, F. U Nwogu, E. Q Ossai-Abeh, J. C Ikwuemesi, A. O Oke, J. D Umoh

“…In order to understand the water cycle, safeguard surface water resources, and preserve the human environment, this study evaluated surface water hydro-chemical facies, quality dynamics, and portability in southern Nigeria using multivariate statistical approaches by analyzing selected hydro-chemical characteristics as indicators of pollution along the river during wet and dry seasons. …”
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