Multivariate statistical analysis and hydrogeochemical modelling of seawater-freshwater mixing along selected flow paths: Case of Korba coastal aquifer Tunisia

Estuarine Coastal and Shelf Science ◽

10.1016/j.ecss.2016.10.005 ◽

2017 ◽

Vol 198 ◽

pp. 636-647 ◽

Cited By ~ 9

Author(s):

Fairouz Slama ◽

Rachida Bouhlila

Keyword(s):

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Coastal Aquifer ◽

Multivariate Statistical ◽

Flow Paths ◽

Hydrogeochemical Modelling

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Groundwater quality assessment using integrated geochemical methods, multivariate statistical analysis, and geostatistical technique in shallow coastal aquifer of Terengganu, Malaysia

Arabian Journal of Geosciences ◽

10.1007/s12517-016-2828-5 ◽

2017 ◽

Vol 10 (2) ◽

Cited By ~ 14

Author(s):

Zahidi Hamzah ◽

Ahmad Zaharin Aris ◽

Mohammad Firuz Ramli ◽

Hafizan Juahir ◽

Tahoora Sheikhy Narany

Keyword(s):

Statistical Analysis ◽

Groundwater Quality ◽

Quality Assessment ◽

Multivariate Statistical Analysis ◽

Coastal Aquifer ◽

Multivariate Statistical ◽

Groundwater Quality Assessment

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Multivariate Statistical Analysis of Hydrochemical Data for Shallow Ground Water Quality Factor Identification in a Coastal Aquifer

Polish Journal of Environmental Studies ◽

10.15244/pjoes/30263 ◽

2015 ◽

Vol 24 ◽

Cited By ~ 3

Author(s):

Qingchun Yang ◽

Jianing Zhang ◽

Yanli Wang ◽

Yanna Fang ◽

Jordi Martin

Keyword(s):

Water Quality ◽

Statistical Analysis ◽

Ground Water ◽

Quality Factor ◽

Multivariate Statistical Analysis ◽

Coastal Aquifer ◽

Ground Water Quality ◽

Multivariate Statistical ◽

Hydrochemical Data

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Application of the Multivariate Statistical Analysis for Hydrogeochemical Assessment of Groundwater of Coastal Aquifer AQ1 of Pointe-Noire, Congo

Chemical Science Transactions ◽

10.7598/cst2018.1471 ◽

2018 ◽

Keyword(s):

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Coastal Aquifer ◽

Multivariate Statistical ◽

Pointe Noire

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Water Quality Assessment in the Bamoun Plateau, Western-Cameroon: Hydrogeochemical Modelling and Multivariate Statistical Analysis Approach

Journal of Water Resource and Protection ◽

10.4236/jwarp.2021.132007 ◽

2021 ◽

Vol 13 (02) ◽

pp. 112-138

Author(s):

Zakari Mfonka ◽

Amidou Kpoumié ◽

Abdou Nasser Ngouh ◽

Oumar Farouk Mouncherou ◽

Daouda Nsangou ◽

...

Keyword(s):

Water Quality ◽

Statistical Analysis ◽

Quality Assessment ◽

Multivariate Statistical Analysis ◽

Water Quality Assessment ◽

Analysis Approach ◽

Multivariate Statistical ◽

Hydrogeochemical Modelling

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Assessment of heavy metal(loid)s in groundwater by multivariate statistical analysis and metals pollution indices: a case study of Çarşamba coastal aquifer, North Turkey

Arabian Journal of Geosciences ◽

10.1007/s12517-021-09007-w ◽

2021 ◽

Vol 14 (23) ◽

Author(s):

Abdourazakou Maman Hassan ◽

Arzu Fırat Ersoy ◽

Nazlı Ayyildiz Turan

Keyword(s):

Heavy Metal ◽

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Coastal Aquifer ◽

Pollution Indices ◽

Multivariate Statistical ◽

Metals Pollution

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The Study of Processes Affecting Groundwater Hydrochemistry by Multivariate Statistical Analysis (Case Study: Coastal Aquifer of Ghaemshahr, NE-Iran)

Open Journal of Geology ◽

10.4236/ojg.2017.76057 ◽

2017 ◽

Vol 07 (06) ◽

pp. 830-846 ◽

Cited By ~ 4

Author(s):

Homayoun Moghimi

Keyword(s):

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Coastal Aquifer ◽

Multivariate Statistical ◽

Groundwater Hydrochemistry ◽

Ne Iran

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Assessment of seawater intrusion in an arid coastal aquifer, south-eastern Tunisia, using multivariate statistical analysis and chloride mass balance

Physics and Chemistry of the Earth Parts A/B/C ◽

10.1016/j.pce.2018.05.001 ◽

2018 ◽

Vol 106 ◽

pp. 37-46 ◽

Cited By ~ 8

Author(s):

Faten Telahigue ◽

Belgacem Agoubi ◽

Faiza Souid ◽

Adel Kharroubi

Keyword(s):

Statistical Analysis ◽

Mass Balance ◽

Seawater Intrusion ◽

Multivariate Statistical Analysis ◽

Coastal Aquifer ◽

Chloride Mass Balance ◽

Multivariate Statistical ◽

South Eastern

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Guidelines for presenting multivariate statistical analysis in Rehabilitation Psychology.

Rehabilitation Psychology ◽

10.1037/0090-5550.42.2.157 ◽

1997 ◽

Vol 42 (2) ◽

pp. 157-160

Author(s):

Michael Shutty

Keyword(s):

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Multivariate Statistical ◽

Rehabilitation Psychology

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Multivariate statistical analysis of elements content in snow cover in Blagoveshchensk

Regional Ecology ◽

10.30694/1026-5600-2018-2-15-28 ◽

2018 ◽

Vol 52 (2) ◽

pp. 15

Author(s):

V. I. Radomskaya ◽

D. V. Yusupov ◽

L. М. Pavlova ◽

А. G. Sеrgееvа ◽

N. А. Bоrоdinа ◽

...

Keyword(s):

Statistical Analysis ◽

Snow Cover ◽

Multivariate Statistical Analysis ◽

Multivariate Statistical

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Multivariate Statistical Analysis Regarding the Formulation of Oxicam-Based Pharmaceutical Hydrogels

Revista de Chimie ◽

10.37358/rc.17.4.5539 ◽

2017 ◽

Vol 68 (4) ◽

pp. 726-731

Author(s):

Lenuta Maria Suta ◽

Anca Tudor ◽

Colette Roxana Sandulovici ◽

Lavinia Stelea ◽

Daniel Hadaruga ◽

...

Keyword(s):

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Pharmaceutical Formulations ◽

Analysis Data ◽

Multivariate Statistical ◽

Predictive Variables ◽

Rapid Release ◽

Computational Data ◽

Experimental Protocols ◽

Formulation Factors

In this paper, it was analysed the influence of formulation factors over obtaining oxicam hydrogels, using the statistical analysis. Data analysis and predictive modeling by multivariate regression offers a large number of possible explanatory/predictive variables. Therefore, variable selection and dimension reduction is a major task for multivariate statistical analysis, especially for multivariate regressions. The statistical analysis and computational data processing of responses obtained from different pharmaceutical formulations, via different experimental protocols, lead to the optimization of the formulation process. It was found that the most suitable pharmaceutical formulations based on oxicams with the possibility of rapid release contained cyclodextrin, in particular 2-hydroxypropyl-b-cyclodextrin.

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