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Distribution Estimation for Fishing Time
SLU, Centre of Biostochastics. (Arcum)
SLU, Department of Wildlife, Fish, and Environmental Studies.
2011 (English)Report (Other academic)
Abstract [en]

Information on visitation frequencies in recreational fishing is important when dealing with fishing tourism in order to make prognoses forthe future upon changes in the management of the aquatic environment (flow regime or habitat restoration), fishing regulations, or to estimatethe total harvest of fish. Therefore interviews have been performed in a number of streams and sections of streams, throughout the last twenty years in the Jämtland-Härjedalen region in Sweden. In this work the probability distribution of total fishing hours a day (possibly on differentperiods) is considered. We found that both Gamma and Weibull distributions can be considered as approximate distributions that generate the data. Gamma distribution fits very well for summer season while Weibull distribution is more appropriate for the other periods. In general, the gamma model is easier to interpret and better fits the mode of the distribution, and therefore, is preferred. Having parameters estimated, we are able to calculate probabilities of different fishing times. It is also suggested to use two periods: mid-summer – the end of August and other dates. The modelling at section level seems to be successful. Both the Gamma and Weibull distributions fits well the data for all periods, providing that the number of observations are not less than 20. The mean fishing hours, however, varies from section to section, even within the same watercourse.

Place, publisher, year, edition, pages
2011. , 22 p.
, Research Report, Centre of Biostochastics, ISSN 1651-8543 ; 2011-2
Keyword [en]
Fishing time, density estimation, goodness-of-fit test, randomisation
National Category
Fish and Aquacultural Science
Research subject
Mathematical Statistics
URN: urn:nbn:se:umu:diva-63719OAI: diva2:582472
Available from: 2013-01-04 Created: 2013-01-04 Last updated: 2016-06-20Bibliographically approved

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Yu, Jun
Fish and Aquacultural Science

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