SAGE Research Methods - Encyclopedia of Measurement and Statistics

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Autocorrelation

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

Many parametric statistical procedures (e.g., ANOVA, linear regression) assume that the errors of the models used in the analysis are independent of one another (i.e., the errors are not correlated). When ...

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  Salkind, N. J. (2007). Autocorrelation. In Encyclopedia of measurement and statistics (pp. 63-65). Sage Publications, Inc., https://dx.doi.org/10.4135/9781412952644.n37
  
  Salkind, Neil J. "Autocorrelation." In Encyclopedia of Measurement and Statistics, edited by Salkind, Neil J., 63-65. Thousand Oaks, CA: Sage Publications, Inc., 2007. https://dx.doi.org/10.4135/9781412952644.n37.
  
  Salkind, N. J. 2007. Autocorrelation. In: Neil J. Salkind Editor, 2007. Encyclopedia of Measurement and Statistics, Thousand Oaks, CA: Sage Publications, Inc. pp. 63-65 Available at: <https://dx.doi.org/10.4135/9781412952644.n37> [Accessed 27 Jun 2022].
  
  Salkind, Neil J. "Autocorrelation." Encyclopedia of Measurement and Statistics. Edited by Thousand Oaks: Sage Publications, Inc., 2007, pp. 63-65. SAGE Research Methods. 27 Jun 2022, doi: https://dx.doi.org/10.4135/9781412952644.n37.
  
  Salkind, Neil J. (2007). Autocorrelation In:Autocorrelation Encyclopedia of measurement and statistics Thousand Oaks, CA: Sage Publications, Inc.; 2007:63-65. doi:10.4135/9781412952644.n37
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