Jayasankar, J (2018) Introduction to Primer and Statistical Methods in Ecological Data Analysis In: ICAR Sponsored Winter School on Recent Advances in Fishery Biology Techniques for Biodiversity Evaluation and Conservation, 1-21 December 2018, Kochi. [Teaching Resource]
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25-Winter School on Recent Advances in Fishery Biology Techniques for Biodiversity Evaluation and Conservation_2018_Jayasankar J.pdf Download (272kB) | Preview |
Abstract
Although analytical methods in statistics have all along been generic and evolutionary in the first half of past century, the developments happening in the field of computational statistics in the past couple of decades are more need based and custom tuned. A lot of effort is being put in by researchers in bundling methods, theory and procedures in classical statistical literature on their common applicability to a targeted exploration. It is common place to collate various univariate, multivariate, parametric, non-parametric, frequentist and non-frequentist methods, which have applications in different domains like ecology, clinical trials, bioinformatics etc. and tag them as per the domain subject matter. Thus the generic and specific procedures which are of relevance in exploratory and confirmatory analyses in the field of ecological studies of communities have been grouped under a common pivot. During the course of this discussion a couple of such statistical methods used in community structure studies would be dwelled upon.
| Item Type: | Teaching Resource |
|---|---|
| Subjects: | Marine Fisheries > Fisheries Statistics |
| Divisions: | CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division |
| Depositing User: | Arun Surendran |
| Date Deposited: | 05 Jan 2019 05:27 |
| Last Modified: | 15 Feb 2019 05:19 |
| URI: | http://eprints.cmfri.org.in/id/eprint/13327 |
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