Statistical Science

Comment: “Models as Approximations I: Consequences Illustrated with Linear Regression” by A. Buja, R. Berk, L. Brown, E. George, E. Pitkin, L. Zhan and K. Zhang

Roderick J. Little

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Statist. Sci., Volume 34, Number 4 (2019), 580-583.

First available in Project Euclid: 8 January 2020

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Little, Roderick J. Comment: “Models as Approximations I: Consequences Illustrated with Linear Regression” by A. Buja, R. Berk, L. Brown, E. George, E. Pitkin, L. Zhan and K. Zhang. Statist. Sci. 34 (2019), no. 4, 580--583. doi:10.1214/19-STS726.

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See also

  • Main article: Models as Approximations I: Consequences Illustrated with Linear Regression.
  • Main article: Models as Approximations II: A Model-Free Theory of Parametric Regression.