Efficient designs for sampling and subsampling in fisheries research based on ranked sets

Wang, You-Gan, Ye, Yimin, & Milton, David A. (2009) Efficient designs for sampling and subsampling in fisheries research based on ranked sets. ICES Journal of Marine Science, 66(5), pp. 928-934.

View at publisher

Abstract

Sampling strategies are developed based on the idea of ranked set sampling (RSS) to increase efficiency and therefore to reduce the cost of sampling in fishery research. The RSS incorporates information on concomitant variables that are correlated with the variable of interest in the selection of samples. For example, estimating a monitoring survey abundance index would be more efficient if the sampling sites were selected based on the information from previous surveys or catch rates of the fishery. We use two practical fishery examples to demonstrate the approach: site selection for a fishery-independent monitoring survey in the Australian northern prawn fishery (NPF) and fish age prediction by simple linear regression modelling a short-lived tropical clupeoid. The relative efficiencies of the new designs were derived analytically and compared with the traditional simple random sampling (SRS). Optimal sampling schemes were measured by different optimality criteria. For the NPF monitoring survey, the efficiency in terms of variance or mean squared errors of the estimated mean abundance index ranged from 114 to 199% compared with the SRS. In the case of a fish ageing study for Tenualosa ilisha in Bangladesh, the efficiency of age prediction from fish body weight reached 140%.

Impact and interest:

11 citations in Scopus
Search Google Scholar™
7 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 90450
Item Type: Journal Article
Refereed: Yes
Keywords: age determination, monitoring survey, ranked set sampling, sampling, design, sampling efficiency, regression, estimator
DOI: 10.1093/icesjms/fsp112
ISSN: 1054-3139
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 17 Nov 2015 04:35
Last Modified: 17 Nov 2015 04:35

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page