由于渔业资源评估中补充量的剧烈变动、亲体量的测量误差以及时间序列的偏差常常使亲体补充量（SR）关系模型的确定存在很大偏差问题。
Variations in environmental variables and measurement errors often result in large and heterogeneous deviations in fitting fish stock-recruitment (SR) data to an SR statistical model.
由于渔业资源评估中补充量的剧烈变动、亲体量的测量误差以及时间序列的偏差常常使亲体补充量（SR）关系模型的确定存在很大偏差问题。
Variations in environmental variables and measurement errors often result in large and heterogeneous deviations in fitting fish stock-recruitment (SR) data to an SR statistical model.
应用推荐