Title

Information Content in Data Sets: A Review of Methods for Interrogation and Model Comparison

Document Type

Review

Publication Date

1-1-2018

Description

In this reviewwe discuss methodology to ascertain the amount of information in given data sets with respect to determination of model parameters with desired levels of uncertainty.We do this in the context of least squares (ordinary,weighted, iterative reweightedweighted or "generalized", etc.) based inverse problem formulations. The ideas are illustrated with several examples of interest in the biological and environmental sciences.

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