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Titlebook: Computers in Fisheries Research; Bernard A. Megrey,Erlend Moksness Book 19961st edition Springer Science+Business Media Dordrecht 1996 cog

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Geostatistics and their applications to fisheries survey data,in two stages. First, the structural analysis characterizes the different aspects of the spatial distribution. Spatial distributions generally have two aspects, one is structured, the other complex and erratic. During this stage, a model is chosen to interpret the data. The second stage involves using the model to derive the estimates.
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https://doi.org/10.1007/1-4020-3046-0bution of a stock, studying the fisheries part of an ecosystem, and describing diurnal movements or seasonal migrations of a stock. The sole purpose considered here, however, is that of abundance estimation.
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Structure of Theoretical Knowledge,ages, some can see or perform difficult assembly tasks, and others can infer new information from facts provided to the system. However, software that makes computers seem intelligent is not that different from any other kind of software.
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The Galerkin Method and Its Variants, biological interactions. Thus, while multispecies modeling shared the initial burst of activity with digital computing, it did not continue to advance as computing power has. We argue that with the growing interest in the individual-based modeling approach, multispecies modeling will experience ano
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Linear Operators on Normed Spaces,ational Symposium, displaying the adage ‘To err is human. To really foul things up requires a computer!’ In those days the adage was referring to the growing pains of an information management industry for such human affairs as banking; little did we know at the time how well it would apply to model
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Guide to some computerized artificial intelligence methods,ages, some can see or perform difficult assembly tasks, and others can infer new information from facts provided to the system. However, software that makes computers seem intelligent is not that different from any other kind of software.
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Multispecies modeling of fish populations, biological interactions. Thus, while multispecies modeling shared the initial burst of activity with digital computing, it did not continue to advance as computing power has. We argue that with the growing interest in the individual-based modeling approach, multispecies modeling will experience ano
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