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Precision estimates and suggested sample sizes for length-frequency data.

机译:长度频率数据的精度估算和建议的样本量。

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摘要

For most fisheries applications, the shape of a length-frequency distribution is much more important than its mean length or variance. This makes it difficult to evaluate at which point a sample size is adequate. By estimating the coefficient of variation of the counts in each length class and taking a weighted mean of these, a measure of precision was obtained that takes the precision in all length classes into account. The precision estimates were closely associated with the ratio of the sample size to the number of size classes in each sample. As a rule-of-thumb, a minimum sample size of 10 times the number of length classes in the sample is suggested because the precision deteriorates rapidly for smaller sample sizes. In absence of such a rule-of-thumb, samplers have previously under-estimated the required sample size for samples with large fish, while over-sampling small fish of the same species.
机译:对于大多数渔业应用,长度-频率分布的形状比其平均长度或方差重要得多。这使得难以评估在什么时候样本量足够。通过估计每个长度类别中计数的变化系数并对其进行加权均值,获得了一种精度度量,其中考虑了所有长度类别中的精度。精度估计值与每个样本中样本大小与大小类别数量的比率密切相关。按照经验法则,建议最小样本大小是样本中长度级别数目的10倍,因为对于较小的样本大小,精度会迅速下降。在没有这样的经验法则的情况下,采样者以前低估了大型鱼类样本所需的样本量,而对相同种类的小型鱼类则进行了过度抽样。

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