نتائج البحث

Multivariate statistical methods for analysis of physicochemical and microbiological parameters of well water from the village M’Pody

• Authors : Aubin Yao N’Dri; Stanislas Egomli Assohoun; Cyrille Gueï Okou

Subjects: Principal component analysis; Factorial correspondence analysis; Analysis of variance

• Source: Discover Water, Vol 4, Iss 1, Pp 1-21 (2024)

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A multidisciplinary approach to facies evaluation at regional level using well log analysis, machine learning, and statistical methods

• Authors : Jar Ullah; Huan Li; Umar Ashraf

Subjects: Facies classification; Machine learning; Statistical analysis

• Source: Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 9, Iss 1, Pp 1-24 (2023)

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Linking Multivariate Statistical Methods and Water Quality Indices to Evaluate the Natural and Anthropogenic Geochemical Processes Controlling the Water Quality of a Tropical Watershed

• Authors : Morais Da Silva, Débora Francisca; Lopes Silva, Letícia Mariana; Garnier, Jeremie

Subjects: Water monitoring; Formoso river; Water geochemistry

• Source: Environmental Monitoring And Assessment (0167-6369) (Springer), 2023-10 , Vol. 195 , N. 10 , P. 1240 (12p.)

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Improved statistical methods for monitoring knee osteoarthritis disease progression.

• Authors : Parsons, C.M.; Judge, A.; Meyer, R.

Subjects: Human health sciences; Public health, health care sciences & services; Sciences de la santé humaine

• Source: Osteoporosis International, 31 (S1), 524 (2020); World Congress on Osteoporosis, Osteoarthritis and Musculoskeletal Diseases, 20-22 août 2020

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Combining statistical methods for detecting potential outliers in groundwater quality time series

• Authors : Water Quality Management; Environmental Sciences; Berendrecht, Wilbert

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Identification of hydro-chemical processes in Western Kabul Plain aquifer (Afghanistan) using statistical methods and self-organizing map

• Authors : Zaryab, A.; Nassery, H.R.; Alijani, F.

Subjects: Groundwater; Hydrogeochemical processes; Self-organizing map

• Source: ISSN: 2363-5037

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Linking multivariate statistical methods and water quality indices to evaluate the natural and anthropogenic geochemical processes controlling the water quality of a tropical watershed.

• Authors : da Silva DFM; Laboratório de Águas e Efluentes e Laboratório de Análises Ambientais - Química Ambiental, Universidade Federal de Tocantins, Rua Badejós, Lote 7, Chácaras 69/72, Gurupi, Tocantins, 77402-970, Brazil.; da Silva LML

Subjects: Water Quality* ; Environmental Monitoring*; Anthropogenic Effects

• Source: Environmental monitoring and assessment [Environ Monit Assess] 2023 Sep 22; Vol. 195 (10), pp. 1240. Date of Electronic Publication: 2023 Sep 22.Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium:

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Applying Statistical Methods to Compare Frontiers:Are Organic Dairy Farms Better Than the Conventional?

• Authors : Parmeter, Christopher F.; Sickles, Robin C.; Asmild, Mette

Subjects: Data envelopment analysis (DEA); Frontier differences; Independent samples

• Source: Asmild , M , Kronborg , D & Rønn-Nielsen , A 2021 , Applying Statistical Methods to Compare Frontiers : Are Organic Dairy Farms Better

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Evaluation of Italian extra virgin olive oils based on the phenolic compounds composition using multivariate statistical methods

• Authors : Klikarová, Jitka; Česlová, Lenka; Kalendová, Petra

Subjects: extra virgin olive oils; phenols; factor analysis

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Assessment and interpretation of surface water quality in Jhelum River and its tributaries using multivariate statistical methods.

• Authors : Gull S; Department of Civil Engineering, National Institute of Technology Srinagar, Srinagar, 190006, India. .; Shah SR

Subjects: Water Quality* ; Water Pollutants, Chemical*/Water Pollutants, Chemical*/Water Pollutants, Chemical*/analysis; Humans

• Source: Environmental monitoring and assessment [Environ Monit Assess] 2023 May 27; Vol. 195 (6), pp. 746. Date of Electronic Publication: 2023 May 27.Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium:

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