An Analysis of Serial Changes in the Composition of Various Items Using a Correlation Coefficient Series (Microcomputer Program)
Share
dc.contributor.author | Shindo, Shigeaki | |
dc.date.accessioned | 2018-03-20T02:11:28Z | |
dc.date.available | 2018-03-20T02:11:28Z | |
dc.date.issued | 1983-12 | |
dc.identifier.citation | Shindo, S. (1983). An Analysis of Serial Changes in the Composition of Various Items Using a Correlation Coefficient Series (Microcomputer Program). Training Department, Southeast Asian Fisheries Development Center. | en |
dc.identifier.uri | http://hdl.handle.net/20.500.12067/469 | |
dc.description.abstract | In the present paper, three original microcomputer programs are introduced. They will be found useful in the analysis of a wide variety of serial changes concerning fishery resources, such as annual or monthly changes, or serial zones of water depth (e.g. 0-19 m, 20-39 m, 40-59 m, etc.). They can also be applied for analyzing catch by species of fish (in terms of weight or numbers), catch by types of fishing gear (in terms of weight of catch or number of gear units, vessels etc.) catch by fishing area, etc. The programs are applicable both for investigating the current situation in a fishery and resources and for examining changes within a given time period. | en |
dc.language.iso | en | en |
dc.publisher | Training Department, Southeast Asian Fisheries Development Center | en |
dc.subject | analysis | en |
dc.subject | correlation coefficient | en |
dc.subject | microcomputer programs | en |
dc.subject | Fishery resources | en |
dc.subject | Catches | en |
dc.subject | fish species | en |
dc.subject | species composition | en |
dc.subject | catch composition | en |
dc.title | An Analysis of Serial Changes in the Composition of Various Items Using a Correlation Coefficient Series (Microcomputer Program) | en |
Files in this item
Files | Size | Format | View |
---|---|---|---|
TD-SP-05.PDF | 3.784Mb | application/pdf | View/ |
This item appears in the following Collection(s)
-
SEAFDEC/TD [28]