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

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.

Identiferoai:union.ndltd.org:ETSU/oai:dc.etsu.edu:etsu-works-11770
Date01 January 2018
CreatorsBanks, H. Thomas, Joyner, Michele L.
PublisherDigital Commons @ East Tennessee State University
Source SetsEast Tennessee State University
Detected LanguageEnglish
Typetext
SourceETSU Faculty Works

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