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Accuracy, scope, and flexibility of models

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Publication:1977902
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DOI10.1006/jmps.1999.1274zbMath0960.91073OpenAlexW2102447163WikidataQ52080629 ScholiaQ52080629MaRDI QIDQ1977902

James E. Cutting

Publication date: 5 June 2000

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/c403f452575c409873f9f28043bbcf9b996b515d

zbMATH Keywords

cross-validationcomparison of two models


Mathematics Subject Classification ID

Psychophysics and psychophysiology; perception (91E30) Mathematical psychology (91E99)


Related Items

Assessing model mimicry using the parametric bootstrap., Key concepts in model selection: Performance and generalizability, Measurement by subjective estimation: Testing for separable representations, On the use of nonparametric regression in assessing parametric regression models



Cites Work

  • Upper bounds for Kruskal's stress
  • Akaike's information criterion and recent developments in information complexity
  • Bayesian model selection and model averaging
  • Cross-validation methods
  • Model selection based on minimum description length
  • Multidimensional Scaling, Tree-Fitting, and Clustering
  • Algorithmic Information Theory
  • Logical basis for information theory and probability theory
  • The Optics of Euclid1
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