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Akaike Information Criterion

In: Encyclopedia of Measurement and Statistics
Edited by: Neil J. Salkind

In statistical modeling, one of the main challenges is to select a suitable model from a candidate family to characterize the underlying data. Model selection criteria provide a useful tool in this regard. A ...

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  Salkind, N. J. (2007). Akaike information criterion. In Encyclopedia of measurement and statistics (pp. 16-17). Sage Publications, Inc., https://dx.doi.org/10.4135/9781412952644.n9
  
  Salkind, Neil J. "Akaike Information Criterion." In Encyclopedia of Measurement and Statistics, edited by Salkind, Neil J., 16-17. Thousand Oaks, CA: Sage Publications, Inc., 2007. https://dx.doi.org/10.4135/9781412952644.n9.
  
  Salkind, N. J. 2007. Akaike Information Criterion. In: Neil J. Salkind Editor, 2007. Encyclopedia of Measurement and Statistics, Thousand Oaks, CA: Sage Publications, Inc. pp. 16-17 Available at: <https://dx.doi.org/10.4135/9781412952644.n9> [Accessed 30 Jun 2022].
  
  Salkind, Neil J. "Akaike Information Criterion." Encyclopedia of Measurement and Statistics. Edited by Thousand Oaks: Sage Publications, Inc., 2007, pp. 16-17. SAGE Research Methods. 30 Jun 2022, doi: https://dx.doi.org/10.4135/9781412952644.n9.
  
  Salkind, Neil J. (2007). Akaike information criterion In:Akaike information criterion Encyclopedia of measurement and statistics Thousand Oaks, CA: Sage Publications, Inc.; 2007:16-17. doi:10.4135/9781412952644.n9
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