Information content in data sets: A review of methods for interrogation and model comparison
2018 ◽
Vol 26
(3)
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pp. 423-452
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Keyword(s):
AbstractIn this review we 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 reweighted weighted or “generalized”, etc.) based inverse problem formulations. The ideas are illustrated with several examples of interest in the biological and environmental sciences.
Keyword(s):
1996 ◽
Vol 26
(4)
◽
pp. 590-600
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Keyword(s):
1992 ◽
Vol 50
(2)
◽
pp. 1166-1167
Keyword(s):