Safety in Sampling: Methodological Notes, Issue 454
Food and Agriculture Organization of the United Nations, 2004 - Business & Economics - 91 pages
This paper considers issues of sampling accuracy when sample-based data collection operations are performed under operational constraints, a concern of fishery administrations with limited budgets and human resources. It focuses on the determination of safe sample size using classical statistical methods in light of specific target populations. The concepts and methods discussed apply equally to both marine and inland capture fisheries, and can be adapted to commonly used data collection systems.
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Concepts in estimating catch and effort
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0-1 elements 0.9 1 Sampling accuracy and precision Accuracy plots active days algebraic boundaries applying Basic data involved basic fishery data biased samples Boat Activity Coefficient boat/gear category boat/gear type boundaries dotted line breakpoint catch by species catch/effort assessment surveys concave populations confidence limits convex populations daily catch determining safe sample estimated catch estimated CPUE estimated effort Estimated total catch estimation context estimation process finite population fishery statistical programme flat or convex frame survey Gillnet Global accuracy boundaries global boundary level of accuracy logN lower accuracy boundaries maximum normalized population number of boats population density population mean population parameters population variance priori statistical probabilistic boundaries reference period safe sample size sample mean sample proportion sample-based data collection Sample-based fishery surveys sampling accuracy sampling approaches sampling operations sampling schemes Sampling variable x=logn/logN section readers small populations statistical indicators target population total number true population value variable x=logn/logN Figure