Statistical Techniques for Environmental Sciences: A Review
This paper reviews the interdisciplinary collaboration between Environmental Sciences and Statistics. The usage of statistical methods as a problem-solving tool for handling environmental problems is the key element of this approach. This paper enhances a clear pavement for environmental scientists...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-11-01
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| Series: | Mathematical and Computational Applications |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2297-8747/26/4/74 |
| _version_ | 1797502570812407808 |
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| author | Lishamol Tomy Christophe Chesneau Amritha K. Madhav |
| author_facet | Lishamol Tomy Christophe Chesneau Amritha K. Madhav |
| author_sort | Lishamol Tomy |
| collection | DOAJ |
| description | This paper reviews the interdisciplinary collaboration between Environmental Sciences and Statistics. The usage of statistical methods as a problem-solving tool for handling environmental problems is the key element of this approach. This paper enhances a clear pavement for environmental scientists as well as quantitative researchers for their further collaborative learning with an analytical base. |
| first_indexed | 2024-03-10T03:36:59Z |
| format | Article |
| id | doaj.art-38e29aade82848e8b039202f258128f7 |
| institution | Directory Open Access Journal |
| issn | 1300-686X 2297-8747 |
| language | English |
| last_indexed | 2024-03-10T03:36:59Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematical and Computational Applications |
| spelling | doaj.art-38e29aade82848e8b039202f258128f72023-11-23T09:27:43ZengMDPI AGMathematical and Computational Applications1300-686X2297-87472021-11-012647410.3390/mca26040074Statistical Techniques for Environmental Sciences: A ReviewLishamol Tomy0Christophe Chesneau1Amritha K. Madhav2Department of Statistics, Deva Matha College, Kuravilangad 686633, Kerala, IndiaLaboratoire de Mathématiques Nicolas Oresme (LMNO), Université de Caen Normandie, Campus II, Science 3, 14032 Caen, FranceDepartment of Statistics, Nirmala College, Muvattupuzha 686661, Kerala, IndiaThis paper reviews the interdisciplinary collaboration between Environmental Sciences and Statistics. The usage of statistical methods as a problem-solving tool for handling environmental problems is the key element of this approach. This paper enhances a clear pavement for environmental scientists as well as quantitative researchers for their further collaborative learning with an analytical base.https://www.mdpi.com/2297-8747/26/4/74descriptive statisticsinferential statisticsspecies abundance data plotsabundance modelsspecies richness indicesdiversity measures |
| spellingShingle | Lishamol Tomy Christophe Chesneau Amritha K. Madhav Statistical Techniques for Environmental Sciences: A Review Mathematical and Computational Applications descriptive statistics inferential statistics species abundance data plots abundance models species richness indices diversity measures |
| title | Statistical Techniques for Environmental Sciences: A Review |
| title_full | Statistical Techniques for Environmental Sciences: A Review |
| title_fullStr | Statistical Techniques for Environmental Sciences: A Review |
| title_full_unstemmed | Statistical Techniques for Environmental Sciences: A Review |
| title_short | Statistical Techniques for Environmental Sciences: A Review |
| title_sort | statistical techniques for environmental sciences a review |
| topic | descriptive statistics inferential statistics species abundance data plots abundance models species richness indices diversity measures |
| url | https://www.mdpi.com/2297-8747/26/4/74 |
| work_keys_str_mv | AT lishamoltomy statisticaltechniquesforenvironmentalsciencesareview AT christophechesneau statisticaltechniquesforenvironmentalsciencesareview AT amrithakmadhav statisticaltechniquesforenvironmentalsciencesareview |