Some Aspects of Model-Selection Criteria

Stanley L. Sclove
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Stanley L. Sclove: University of Illinois at Chicago, Department of Information and Decision Sciences

Chapter 1 in Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach, 1994, pp 37-67 from Springer

Abstract: Abstract Often a statistical analysis involves use of a set of alternative models for the data. “Model selection” refers to the choice of the “best” model(s) from such a set.

Keywords: Posterior Probability; Maximum Likelihood Estimate; Maximum Likelihood Estimator; Predictive Inference; Final PREDICtION Error (search for similar items in EconPapers)
Date: 1994
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DOI: 10.1007/978-94-011-0800-3_2

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