@book{ed0601e2b9bf4f2dbcfc50fbf993d4fb,
title = "Integration of three strucutally different stock assessment models in a Bayesian framework",
abstract = "Bayesian statistics provide a method for expressing uncertainty of an unknown parameter value probabilistically (www.bayesian.org). Bayesian methods have been widely used in biological sciences, and recently in fisheries science applied to stock assessment. In our previous studies on Bayesian analysis for the F-project, we have explored three structurally different stock assessment models in a Bayesian framework. These models are not only different with respect to their data needs, they also represent different hypotheses about the stock dynamics.",
keywords = "vissen, beoordeling, schattingen, bayesiaanse theorie, voorspellen, modellen, visstand, fishes, assessment, estimates, bayesian theory, forecasting, models, fish stocks",
author = "S.B.M. Kraak and H. Bogaards and L. Borges and M.A.M. Machiels and {van Keeken}, O.A.",
year = "2007",
language = "English",
series = "Report / Wageningen IMARES",
publisher = "IMARES",
number = "C043/07",
}