The metabolomic approach to the assessment of cultivar specificity of Brassica napus L. seeds by G. N. Smolikova, A. L. Shavarda, I. V. Alekseichuk, V. V. Chantseva, S. S. Medvedev

“…In order to keep the data assay within the context of multivariate statistics, we used principal component analysis (PCA), partial least square discriminant analysis (PLS-DA), and partial least square regression (PLS-R). …”
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Urine metabolic profile in rats with arterial hypertension of different genesis by A. A. Sorokoumova, A. A. Seryapina, Yu. K. Polityko, L. V. Yanshole, Yu. P. Tsentalovich, М. А. Gilinsky, А. L. Markel

“…Then, potential metabolomic markers for the studied forms of hypertensive conditions were identified using multivariate statistics. Analysis of the data obtained showed that hereditary stress-induced arterial hypertension in ISIAH rats was characterized by a decrease in the following urine metabolites: nicotinamide and 1-methylnicotinamide (markers of inflammatory processes), N- ace tyl glutamate (nitric oxide cycle), isobutyrate and methyl acetoacetate (gut microbiota). …”
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Extrinsic attributes that drive consumer purchase of block mozzarella by K. Homwongpanich, M.E. Watson, D. Rovai, H. Eshpari, M.A. Drake

“…Survey data were evaluated by univariate and multivariate statistics. The ideal block mozzarella for consumers was made from whole milk, had a firm texture or shreds well, block or bar shape, with a resealable package and farmer-owned labeling. …”
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Quick Determination of Soil Quality Using Portable Spectroscopy and Efficient Multivariate Techniques by Ernest Teye, Charles L. Y. Amuah, Kofi Atiah, Ransford Opoku Darko, Thomas Abindaw, Kwadwo Kusi Amoah, Michael Miyittah, Emmanuel Afutu, Rebecca Owusu

“…In this study, a pocket-sized shortwave NIR spectroscopy (740–1070 nm) and multivariate statistics were used to classify soil from different land-use types and simultaneously predict nitrogen (N), phosphorus (P), potassium (K), calcium (Ca2+), magnesium (Mg2+), and pH in Ghana. …”
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Ancient and contemporary shellfish cultivation practices bolster bivalve communities and diversity‐biomass relationships by Kieran D. Cox, Hailey L. Davies, Ben Millard‐Martin, Morgan Black, Margot Hessing‐Lewis, Nicole F. Smith, Francis Juanes, Sarah E. Dudas

“…We examined these data using a combination of diversity indices, structural complexity metrics, non‐parametric multivariate statistics and supervised machine learning algorithms. …”
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Otolith chemistry suggests population heterogeneity within a genetically homogeneous Indian scad population along Indian coast by Anjaly Jose, Sandhya Sukumaran, Neenu Raj, K. Nisha, Eldho Varghese, S. J. Laly, Satyen Kumar Panda, Subal Kumar Roul, P. Abdul Azeez, Shoba Joe Kizhakudan, A. Gopalakrishnan

“…Elemental ratios (Ba/Ca, Fe/Ca, K/Ca, Mg/Ca, Na/Ca, Sr/Ca and Zn/Ca) were analysed using univariate and multivariate statistics to determine whether this chemical signature can provide insight into the adaptive patterns. …”
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Multivariate description of gait changes in a mouse model of peripheral nerve injury and trauma. by Bilal A Naved, Shuling Han, Kyle M Koss, Mary J Kando, Jiao-Jing Wang, Craig Weiss, Maya G Passman, Jason A Wertheim, Yuan Luo, Zheng J Zhang

“…It is also the first study to use multivariate statistics to characterize and distinguish among different gradations of gait deficit in animals. …”
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Application of Kansei Engineering in Various Train Compartment Designs to Determine the User's Affective Response by Dinda Karina Yohanny, Lu'Lu' Purwaningrum, Ambar Mulyono

“…This research consists of 5 steps: (1) Determining product semantics (Kansei Words assignment); (2) Define product properties (items and categories), as many as eight design samples; (3) Distributing questionnaires to 150 respondents (75 men and 75 women); (4) Data analysis with multivariate statistics, KMO, Barlett's Test, Principal Component Analysis, and clustering of respondents; (5) Evaluate the results of the most optimal design specifications. …”
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Analysis of correlations between indices of academic performance by Jelena Čikun, Jonas-Vytautas Daunoravičius, Marijus Radavičius

“… The paper is devoted to multivariate statistical analysis of academic performance data. …”
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Extended Matrix Variate Hypergeometric Functions and Matrix Variate Distributions by Daya K. Nagar, Raúl Alejandro Morán-Vásquez, Arjun K. Gupta

“…Hypergeometric functions of matrix arguments occur frequently in multivariate statistical analysis. In this paper, we define and study extended forms of Gauss and confluent hypergeometric functions of matrix arguments and show that they occur naturally in statistical distribution theory.…”
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Dose-Dependent Differentiation of Gamma-Irradiated Hazelnut Samples by Mid-Infrared Spectroscopy Coupled with Chemometrics by Ayca Dogan, Mete Severcan, Feride Severcan

“…In conclusion, FTIR spectroscopy combined with multivariate statistical analysis has potential for the development of a reliable and fast methodology for separation of high-dose irradiated food samples.…”
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A Dynamic Intrusion Detection System Based on Multivariate Hotelling’s T2 Statistics Approach for Network Environments by Aneetha Avalappampatty Sivasamy, Bose Sundan

“…In this work, an approach based on Hotelling’s T2 method, a multivariate statistical analysis technique, has been employed for intrusion detection, especially in network environments. …”
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Distribution Characteristics and Environmental Response of Diatoms Deposited in Reservoirs in the Source Region of Le'an River by YIN Hongwei, ZHANG Jie, YAN Ruyu, JI Yong, XIAO Weiqi, CAI Gaotang

“…At present, the study of heavy metal pollution in the Le'an River Basin should be explored.To fully elucidate the environmental characteristics and change-driven processes of reservoirs in the source region of the Le'an River, this paper employs Qinghua and Shijing reservoirs with different ecological environments and development backgrounds as research objects.Experimental records of diatom species and physicochemical indicators in sedimentary column cores are conducted, and meanwhile combined with modern monitoring data and multivariate statistical methods, environmental characteristics driving factors affecting changes in sedimentary diatom assemblages and sedimentary environment in reservoirs are analyzed.The results show that nutrient levels in the reservoirs gradually increase with the depth to the surface, and the sediment pollution evaluation also reveals the collection process of nutrients.Universal and cleaning indicator species have been replaced by fouling-tolerant and eutrophication indicator species of sedimentary diatoms, with representative species being Achnanthidium minutissima and Navicula minima.The multivariate statistical analysis results show that TP, TN, TP, and TOC are the main driving factors of diatom community structure distribution in Qinghua and Shijing reservoirs respectively (p<0.05).Box plot analysis results of 18 diatom indices reveal that CEE and LOBO indices are screened and show sound evaluation suitability and correlation.The input of exogenous materials into the reservoirs is affected by different anthropogenic practices to drive the succession of the diatom community, with a trend towards eutrophication in both reservoirs.…”
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Investigation of Clinical Characteristics and Etiological Factors in Children with Molar Incisor Hypomineralization by Maria Rita Giuca, Maria Cappè, Elisabetta Carli, Lisa Lardani, Marco Pasini

“…Univariate and multivariate statistical analysis showed a significant association (p<0.05) between MIH and ear, nose, and throat (ENT) disorders and the antibiotics used during pregnancy (0.019). …”
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Cluster analysis applied to fuel price data in Campina Grande by Richard Silva, Thaisa Azevedo, Hiago Martins, Lucas Cardoso Pereira

“… This work uses cluster analysis to analyze similarities in the prices of regular gasoline and ethanol in Campina Grande-PB, Brazil. This multivariate statistical technique groups similar elements into distinct clusters using the non-hierarchical method (k-means). …”
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Investigation of alpha-glucosidase inhibition activity of Artabotrys sumatranus leaf extract using metabolomics, machine learning and molecular docking analysis. by Dela Rosa, Berna Elya, Muhammad Hanafi, Alfi Khatib, Eka Budiarto, Syamsu Nur, Muhammad Imam Surya

“…Metabolomics analysis of Artabotrys sumatranus leaf extract was used in this research to predict the active compounds as α-glucosidase inhibitors from this extract. Both multivariate statistical analysis and machine learning approaches were used to improve the confidence of the predictions. …”
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Use of different multi-criteria ranking techniques in assessing the development of organic production by Đurić Dragana, Vico Grujica, Bodiroga Radomir

“…Given the large number of indicators used in statistical systems to describe the state of organic production, this paper aims to apply techniques from multivariate statistical analysis and multi-criteria decision-making to rank EU member states based on the development of organic production. …”
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Monitoring and assessment of a eutrophicated coastal lake using multivariate approaches by U.G. Abhjna

“…Thus the present study could estimate the effectiveness of multivariate statistical approaches for assessing water quality conditions in lakes.…”
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DETERMINING FACTORS OF A CITY’S TOURISM ATTRACTIVENESS by ARTURO CALVO-MORA, JUAN MANUEL BERBEL-PINEDA, RAFAEL PERIÁÑEZ, EVA MARÍA SUÁREZ

“…This methodology combines qualitative information provided by experts and quantitative information obtained from multivariate statistical techniques. The results of the work suggest, in addition to the validity and suitability of the methodology, that the attractiveness of a tourist destination could be improved by the implementation of a set of publicprivate plans linked to its tourism positioning, residents‟ awareness, the best use of the cultural and social wealth and the rich heritage, as well as the improvement of the infrastructure and the public and private management of tourism.…”
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A Fast and Efficient Estimation of the Parameters of a Model of Accident Frequencies via an MM Algorithm by Issa Cherif Geraldo, Edoh Katchekpele, Tchilabalo Abozou Kpanzou

“…In this paper, we consider a multivariate statistical model of accident frequencies having a variable number of parameters and whose parameters are dependent and subject to box constraints and linear equality constraints. …”
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