FAO Fisheries Technical Paper 454
Safety in sampling - Methodological notes
Senior Fishery Data Officer
Fishery Information, Data and Statistics Unit
FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS
Table of Contents
|The designations employed and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.|
All rights reserved. Reproduction and dissemination of material in this information product for educational or other non-commercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. Reproduction of material in this information product for resale or other commercial purposes is prohibited without written permission of the copyright holders. Applications for such permission should be addressed to the Chief, Publishing and Multimedia Service, Information Division, FAO, Viale delle Terme di Caracalla, 00100 Rome, Italy or by email to firstname.lastname@example.org
© FAO 2004
|Stamatopoulos, C. |
Safety in sampling: methodological notes.
FAO Fisheries Technical Paper. No. 454. Rome, FAO. 2004. 91p.
The presented methodological notes address the question of sampling accuracy when sample-based data collection operations are performed under operational constraints, a frequent concern of fishery administrations with limited budget and human resources. Such a question is directly related to the frequency and extent of field operations for data collection. The paper focuses on an a prioridetermination of safe sample size using classical statistical methods appropriately adjusted to respond to specific target populations. The concepts and methods included in the paper apply equally to both marine and inland capture fisheries and are presented in a manner that is generic enough to make them adaptable in commonly used data collection systems.
How to Order