One approach in using multivariate statistical process control in analyzing cheese quality by Ilija Djekic, Jelena Miocinovic, Boris Pisinov, Snezana Ivanovic, Nada Smigic, Igor Tomasevic

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Beyond the Preston Curve: Analyzing Variations in Life Expectancy Around the World Using Multivariate Regression Circa 2000 and 2015 by Jack Homer

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An Anomaly Detection Method for Multivariate Statistical Process Based on POT by Dazhi ZHANG, Xiaoyu LUO, Sheng ZHENG

“…An anomaly warning was issued when the anomaly score exceeded the final threshold. By combining multivariate statistical process control (MSPC) with extreme value theory (EVT), this method used MSPC to discover anomalies in the operating data of NPPs quickly and improved the sensitivity and reliability of anomaly detection by modeling and analyzing extreme events, so that it can quickly detect anomalies in high-dimensional operating data of NPPs. …”
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Research on quantitative identification of mine water inflow based on multivariate statistical analysis by Huai WANG, Xinyi WANG, Hongwei MENG, Tong XI, Peng LIU, Zihan WANG

“…Therefore, integrating multivariate statistical analysis techniques can achieve quantitative identification of water gushing sources.…”
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A multivariate statistical framework for mixed storm types in compound flood analysis by P. Maduwantha, P. Maduwantha, T. Wahl, T. Wahl, S. Santamaria-Aguilar, S. Santamaria-Aguilar, R. Jane, R. Jane, J. F. Booth, H. Kim, H. Kim, G. Villarini, G. Villarini

“…Here we present a flexible copula-based statistical framework to assess compound flood potential from multiple flood drivers while explicitly accounting for different storm types. …”
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Some Korovkin-type theorems using multivariate power series technique by Mrutyunjaya Meher, Prasanta Kumar Ray

“…Abstract In this note, we introduce a multivariate power series technique to test the statistical convergence of multiple sequences. …”
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Application of Multivariate Statistical Analysis to Simultaneous Spectrophotometric Enzymatic Determination of Glucose and Cholesterol in Serum Samples by Jessica Torres-Gamez, Jose A. Rodriguez, M. Elena Paez-Hernandez, Carlos A. Galan-Vidal

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EVALUATION OF THE QUALITY AND CLASSIFICATION OF PARBOILED RICE USING NEAR-INFRARED SPECTROSCOPY AND MULTIVARIATE STATISTICAL ANALYSES by Nairiane dos S. Bilhalva, Paulo C. Coradi, Dalmo P. de Oliveira, Marcela T. Nunes, Bruno P. Lombardi, Ariane Beskow

“…Therefore, this study aimed to evaluate the use of near-infrared (NIR) spectroscopy and multivariate statistical analyses to determine the physicochemical quality of parboiled rice grains. …”
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Multivariate statistical analysis of the work stress phenomenon in schoolteachers during the current pandemic context in Chile by Alexis Matheu Pérez, Marcelo Muñoz, Natalia Escobar, Ignacio Irarrazabal Santana, Andrés Loyola Figueroa, Paola Juica Martínez, Macarena Dehnhardt

“…Keywords: educational work contexts, stress, teachers, pandemics, multivariate statistical analysis …”
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Using gc-ms and hplc-ms/ms for analyzing impurities in triethylene glycol accumulating in the process of natural gas drying by M. N. Usachev, Yu. A. Efimova, T. V. Manuylova

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RESTRICTED MAXIMUM LIKELIHOOD ESTIMATION FOR MULTIVARIATE LINEAR MIXED MODEL IN ANALYZING PISA DATA FOR INDONESIAN STUDENTS by Vera Maya Santi, Khairil Anwar Notodiputro, Indahwati Indahwati, Bagus Sartono

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Multivariate Statistical Analysis Uncovers Spectrum–Effect Relationship between HPLC Fingerprints and Antioxidant Activity of Saffron by Ya You, Zijin Xu, Qingrou Zhong, Lin Zhu, Susu Lin, Qiaoqiao Li, Yifeng Cao, Yi Tao, Suhong Chen, Ping Wang

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Physicochemical property and metabolic difference of Hongyingzi sorghum from different regions based on multivariate statistical analysis by SHI Wei, XIA Bao, YUAN Lei, ZHENG Hongmei

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Multivariate Regression Analysis and Statistical Modeling for Summer Extreme Precipitation over the Yangtze River Basin, China by Tao Gao, Lian Xie

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USE OF THE GROUNDWATER QUALITY INDEX, MULTIVARIATE STATISTICS AND HYDROGEOCHEMISTRY FOR GROUNDWATER ASSESSMENT IN THE MALABAR VOLCANIC AREA, INDONESIA by Rizka Maria, Anna Fadliah Rusydi, Dyah Marganingrum, Retno Damayanti, Heri Nurohman, Hilda Lestiana, Riostantieka Mayandari Shoedarto, Asep Mulyono, Yudi Rahayudin, Taat Setiawan, Teuku Yan Walliana Muda Iskandarsyah, Bombom Rachmat Suganda, Hendarmawan Hendarmawan

“…The comprehensive methods involving the application of multivariate statistics, geographical modelling, and the groundwater quality index. …”
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Multivariate Statistical Analyses of Fluoride and Other Physicochemical Parameters in Groundwater Samples of Two Megacities in Asia: Lahore and Sialkot by Saadia Rashid Tariq

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Multivariate statistical and hydrogeochemical analysis of seasonal groundwater quality variations in coastal villages of Trivandrum district, south India by V. Stephen Pitchaimani, R. J. Jerin Joe, G. Shyamala, G. Manjula, B. Hemalatha, M. Dinesh Babu, S. Shenbaga Ezhil, Gobinath Ravindran

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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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Assessing Vodka Authenticity and Origin in Vietnam’s Market: An Analytical Approach Using FTIR and ICP-MS with Multivariate Statistics by Minh Truong Ngoc, Quang Trung Nguyen, Van Thinh Pham, Le Tuan Anh Hoang, Viet Anh Le, Van Nhan Le, Ha Minh Duc Tran, Tien Dat Nguyen

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Maximum Trimmed Likelihood Estimation for Discrete Multivariate Vasicek Processes by Thomas M. Fullerton, Michael Pokojovy, Andrews T. Anum, Ebenezer Nkum

“…Additionally, real data examples containing daily log-volatilities of six common assets (commodities and currencies) and US/Euro short rates are also analyzed. The results indicate that MTLE provides an attractive instrument for interest rate forecasting, stochastic volatility modeling, risk management and other applications requiring statistical robustness in complex economic and financial environments.…”
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