Construct · 1 fields · 1 citations

Gauss-Markov theorem: a standalone construct

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Mathematical statistics

theorem that with uncorrelated, equal-variance errors, ordinary least squares gives the best linear unbiased estimator of regression coefficients.

In mathematical statistics, Gauss-Markov theorem refers to theorem that with uncorrelated, equal-variance errors, ordinary least squares gives the best linear unbiased estimator of regression coefficients. This meaning comes from Aitken (1936) in Proceedings of the Royal Society of Edinburgh.[1]

Unit
Recovery means
Measured by

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Nearby constructs

estimator2 fields · 2 citationsjingle · one word, two constructs ordinary1 fields · 1 citationsanchor · a standalone construct regression4 fields · 5 citationsjingle · one word, four constructs

References

Aitken, A. C. (1936). IV.: On Least Squares and Linear Combination of Observations. Proceedings of the Royal Society of Edinburgh, 55, 42-48. https://doi.org/10.1017/s0370164600014346

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