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Tesi di dottorato in scienze matematiche e fisiche >
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http://hdl.handle.net/2108/925
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| Title: | New insights into fish growth parameters estimation by means of length-based methods |
| Authors: | Cataudella, Stefano Magnifico, Giuseppe |
| Keywords: | growth length-frequency analysis histogram bandwidth expectation-maximization mullus barbatus merluccius merluccius |
| Issue Date: | 14-Jul-2009 |
| Abstract: | Growth studies are an essential instrument in the management of fisheries resources since they
contribute to estimates of production, stock size, recruitment and mortality of fish populations. In the event that
age becomes too complex to be established through an observation of hard parts (otoliths, scales, opercula, rays,
spines and vertebrae), information about the demographic parameters of fish and other animal populations can be
obtained by length-frequency analysis. Length-frequency distributions are commonly analyzed by means of
histograms, although they present several problems, such as a dependency on the origin, width and number of
class intervals, discontinuity of data and fixed bandwidth. This can largely affect the reliability of the estimates,
i.e. the results become dependent upon the data massage operated by the user.
The main aim of this research study was an attempt to contribute to overcome some of the abovementioned
limits. Two algorithms were tested in term... |
| Description: | 19.ciclo |
| URI: | http://hdl.handle.net/2108/925 |
| Appears in Collections: | Tesi di dottorato in scienze matematiche e fisiche
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Files in This Item:
| File |
Description |
Size | Format |
| Ph.D Thesis Magnifico.pdf | | 1214Kb | Adobe PDF | View/Open |
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