SAGE Research Methods - Encyclopedia of Measurement and Statistics

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Eigenvalues

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

Given a real (or complex) p × p matrix, A, for what vectors, xp× 1≠ 0p × 1, and for what scalars, λ, is it true that

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  Salkind, N. J. (2007). Eigenvalues. In Encyclopedia of measurement and statistics (pp. 310-310). Sage Publications, Inc., https://dx.doi.org/10.4135/9781412952644.n151
  
  Salkind, Neil J. "Eigenvalues." In Encyclopedia of Measurement and Statistics, edited by Salkind, Neil J., 310-310. Thousand Oaks, CA: Sage Publications, Inc., 2007. https://dx.doi.org/10.4135/9781412952644.n151.
  
  Salkind, N. J. 2007. Eigenvalues. In: Neil J. Salkind Editor, 2007. Encyclopedia of Measurement and Statistics, Thousand Oaks, CA: Sage Publications, Inc. pp. 310 Available at: <https://dx.doi.org/10.4135/9781412952644.n151> [Accessed 30 Jun 2022].
  
  Salkind, Neil J. "Eigenvalues." Encyclopedia of Measurement and Statistics. Edited by Thousand Oaks: Sage Publications, Inc., 2007, pp. 310-310. SAGE Research Methods. 30 Jun 2022, doi: https://dx.doi.org/10.4135/9781412952644.n151.
  
  Salkind, Neil J. (2007). Eigenvalues In:Eigenvalues Encyclopedia of measurement and statistics Thousand Oaks, CA: Sage Publications, Inc.; 2007:310-310. doi:10.4135/9781412952644.n151
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