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Jul 21, 2025, 1 min read

Bias (Statistics)

Bias measures how far the expected estimate is from the true value.

The bias = expected - real. For a given estimator θ which estimates parameters θ, the bias is given by:

Bias[θ^]=E[θ^]−θ

Also see Cognitive Bias.

Related

  • Variance
  • Bias - Variance Tradeoff
  • Maximization Bias
  • Mean Squared Error

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Backlinks

  • Bessel's Correction
  • Machine Learning
  • Maximization Bias
  • Monte-Carlo vs. Temporal Difference
  • STAT206 - Statistics for Software Engineering
  • Variance

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