onr:"swepub:oai:DiVA.org:umu-63719"
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 03657nam a2200433 4500 | |
| 001 | oai:DiVA.org:umu-63719 | |
| 003 | SwePub | |
| 008 | 130104s2011 | |||||||||||000 ||eng| | |
| 009 | oai:slubar.slu.se:35330 | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-637192 URI |
| 024 | 7 | a https://res.slu.se/id/publ/353302 URI |
| 040 | a (SwePub)umud (SwePub)slu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a vet2 swepub-contenttype |
| 072 | 7 | a rap2 swepub-publicationtype |
| 100 | 1 | a Yu, Jun,d 1962-u Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skogsekonomi,Department of Forest Economics4 aut0 (Swepub:slu)50074 |
| 245 | 1 0 | a Distribution Estimation for Fishing Time |
| 264 | 1 | c 2011 |
| 300 | a 22 s. | |
| 338 | a print2 rdacarrier | |
| 490 | 0 | a Research Report, Centre of Biostochastics,x 1651-8543 ;v 2011-2 |
| 520 | a 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. | |
| 650 | 7 | a LANTBRUKSVETENSKAPERx Lantbruksvetenskap, skogsbruk och fiskex Fisk- och akvakulturforskning0 (SwePub)401072 hsv//swe |
| 650 | 7 | a AGRICULTURAL SCIENCESx Agriculture, Forestry and Fisheriesx Fish and Aquacultural Science0 (SwePub)401072 hsv//eng |
| 650 | 7 | a LANTBRUKSVETENSKAPERx Annan lantbruksvetenskapx Miljö- och naturvårdsvetenskap0 (SwePub)405042 hsv//swe |
| 650 | 7 | a AGRICULTURAL SCIENCESx Other Agricultural Sciencesx Environmental Sciences related to Agriculture and Land-use0 (SwePub)405042 hsv//eng |
| 653 | a Fishing time | |
| 653 | a density estimation | |
| 653 | a goodness-of-fit test | |
| 653 | a randomisation | |
| 653 | a matematisk statistik | |
| 653 | a Mathematical Statistics | |
| 700 | 1 | a Leonardsson, Kjellu Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vilt, fisk och miljö,Department of Wildlife, Fish and Environmental Studies4 aut0 (Swepub:slu)47292 |
| 710 | 2 | a Sveriges lantbruksuniversitetb Institutionen för skogsekonomi4 org |
| 710 | 2 | a Sveriges lantbruksuniversitet |
| 856 | 4 | u http://biostochastics.slu.se/publikationer/dokument/Report201102.pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-63719 |
| 856 | 4 8 | u https://res.slu.se/id/publ/35330 |
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