Merging aggregate catch data with uncertain prior knowledge to approximate age and size distributions and selectivity functions

The problem of determining fish age and size distributions and gear selectivity from aggregate data is approached as an ill-posed inverse problem. Minimum cross-entropy inversion techniques allow the selection of a reasonable unique solution, directly incorporating background information of uncertain quality.<
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