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A common problem in sample-based surveys that are performed under operational constraints is how to scale data collection procedures so as to guarantee an acceptable level of sampling efficiency. This problem constitutes a frequent concern of fishery administrations with limited budget and human resources. Generally, lack of any a priori guidance on sample size requirements tends to increase the size and complexity of field operations and this, in turn, has a direct impact on the logistical aspects of data collection and data management procedures. This study attempts to provide some answers to the above problem and proposes a supplementary practical tool for use in the design of sample-based fishery surveys.

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