A Model-Based Approach to Designing a Fishery-Independent Survey
This paper uses Generalized Additive Models to evaluate model-based designs for wildlife abundance surveys where substantial pre-existing data are available. This is often the case in fisheries with historical catch and effort data. Compared to conventional stratified design or design-based designs,...
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| Veröffentlicht in: | Journal of agricultural, biological, and environmental statistics biological, and environmental statistics, 2013-03, Vol.18 (1), p.1-21 |
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| container_title | Journal of agricultural, biological, and environmental statistics |
| container_volume | 18 |
| creator | Peel, D. Bravington, M.V. Kelly, N. Wood, S.N. Knuckey, I. |
| description | This paper uses Generalized Additive Models to evaluate model-based designs for wildlife abundance surveys where substantial pre-existing data are available. This is often the case in fisheries with historical catch and effort data. Compared to conventional stratified design or design-based designs, our model-based designs can be both efficient and flexible, for example in allowing uneven sampling due to survey logistics, and providing a general framework to answer specific design questions. As an example, we describe the design and preliminary implementation of a trawl survey for eleven fish species along the continental slope off South-East Australia. |
| doi_str_mv | 10.1007/s13253-012-0114-x |
| format | Article |
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| identifier | ISSN: 1085-7117 |
| ispartof | Journal of agricultural, biological, and environmental statistics, 2013-03, Vol.18 (1), p.1-21 |
| issn | 1085-7117 1537-2693 |
| language | eng |
| recordid | cdi_gale_infotracacademiconefile_A374101980 |
| source | Jstor Complete Legacy; SpringerLink Journals - AutoHoldings; JSTOR Mathematics & Statistics |
| subjects | Agriculture Biostatistics Health Sciences Mathematics and Statistics Medicine Monitoring/Environmental Analysis Statistics Statistics for Life Sciences Trawling |
| title | A Model-Based Approach to Designing a Fishery-Independent Survey |
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