Strong Consistency of Least Squares Estimates in Normal Linear Regression

  • Anderson T
  • Taylor J
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Abstract

The strong consistency of least squares estimates in multiple regression models with independent errors is obtained under minimal assumptions on the design and weak moment conditions on the errors.

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Anderson, T. W., & Taylor, J. B. (2007). Strong Consistency of Least Squares Estimates in Normal Linear Regression. The Annals of Statistics, 4(4). https://doi.org/10.1214/aos/1176343552

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