Estimation of kinetic parameters in a chromatographic separation model via Bayesian inference

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In the model world, students build a model (a probability distribution) for an explored (hypothetical) population and generate random samples from this model. They study the model

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Water temperatures for a 24 hr, cold / wet period (1st February 2013); a) precipitation b) Stream water temperatures for each headwater catchment (HW1, HW2, HW3) and the outlet

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