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Assessment of heavy metal pollution of groundwater at the upper stream of Wadi Ranyah, Saudi Arabia, using multivariate statistical approach
Published 2025-03-01“…Initially, the physiochemical parameters were compared to the World Health Organization (WHO) standards and studied with Durov and Chadha diagrams. Multivariate statistical indices, such as the saturation index (SI), chloro-alkaline indices (CAI), Gibbs ratios, heavy metals pollution and evaluation indices (HPI and HEI), and the hierarchical cluster analysis (HCA), were used to identify the sources of water pollution. …”
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Analysis of Volatile Flavor Substances in Commercial Soybean Paste Based on HS-SPME-GC-MS Combined with Multivariate Statistics
Published 2025-08-01“…Multivariate statistical methods, including cluster analysis, were employed to compare the aroma similarities and differences among the various soybean pastes. …”
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Integrated hydrogeochemical and spatial assessment of groundwater quality using multivariate statistics and GIS: a case study from northeastern Iran
Published 2025-08-01“…Multivariate statistical methods (principal component analysis (PCA) and hierarchical cluster analysis (HCA)) were applied separately for each zone to identify dominant geochemical processes and classify water types. …”
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Optimizing Multivariable Logistic Regression for Identifying Perioperative Risk Factors for Deep Brain Stimulator Explantation: A Pilot Study
Published 2025-07-01“…Despite its benefits, DBS explantation occurs in 5.6% of cases, with costs exceeding USD 22,000 per implant. Traditional statistical methods have struggled to identify reliable risk factors for explantation. …”
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Confluence satellite image classification
Published 2017-02-01“…We considered the geometry (plan view) and the intersection angle as a key elements, and applied multivariate statistical analysys to did the clasification. …”
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Building a Statistical Model to Forecast Traffic Accidents for Death and Injuries by Using Bivariate Time Series Analysis
Published 2024-02-01“… In our study, multivariate time series were used that included two variables, namely, the death and injury rates from car accidents in Erbil City Iraq. …”
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Dataset and multivariate statistical tools for mathematical modeling of water desorption isotherms and infrared spectral properties of cupuassu (Theobroma grandiflorum L.) pulpMend...
Published 2025-08-01“…Additionally, mathematical modeling and multivariate statistical tools were applied to analyze water desorption behavior, optimizing low-temperature energy consumption and ensuring maximum storage stability. …”
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Relationship Between Bio-Climatic and Milk Composition Data of Dairy Sheep Farms: Comparison Between THI and Multivariate Weather Index
Published 2025-02-01“…In addition, using factor analysis, we developed a multivariate meteorological index (MMI), which explained 51% of the variance of the original meteorological data. …”
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Methodological framework for three-way statistical analysis of cost of living and quality of life indices: a case study in the American continent
Published 2025-05-01“…This case study focuses on analyzing, from a multivariate perspective, the relationship (differences and similarities) between cost of living and quality of life indices in seven South American countries and three North American countries during the period 2019–2024. …”
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Accounting for the Compositional Nature of Geochemical Data to Improve the Interpretation of Their Univariate and Multivariate Spatial Patterns: A Case Study from the Campania Regi...
Published 2025-01-01“…This study investigates the application of Compositional Data Analysis (CoDA) and multivariate statistical techniques to geochemical data from the soils of the Campania region. …”
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Multivariate discriminant analysis of the electrocardiogram
Published 2025-02-01“…The effectiveness of multivariate discriminant analysis, which is actively used in medicine to diagnose cardiovascular pathologies, is due to the wide range of analyzed parameters: statistical, spectral, and autocorrelation. …”
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