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von Neumann Ratio


The von Neumann ratio is a statistic comparing the mean square successive difference of ordered observations x_1, x_2, ..., x_n with their sample variance. For nonconstant observations, if x^_ is the sample mean, the ratio is

 eta=(sum_(i=1)^(n-1)(x_(i+1)-x_i)^2)/(sum_(i=1)^(n)(x_i-x^_)^2).

The numerator measures local change between consecutive observations, while the denominator measures overall statistical dispersion. The ratio satisfies 0<=eta<=4. Values near 2 indicate little first-order serial correlation, smaller values indicate positive serial correlation, and larger values indicate negative serial correlation or alternation.

The ratio can be used to test whether an observed ordering is consistent with randomness (von Neumann 1941). The Bartels rank test replaces the observations by their statistical ranks, making the resulting procedure a nonparametric test (Bartels 1982). The Durbin-Watson statistic uses the same successive-difference form for regression residuals.


See also

Bartels Rank Test, Durbin-Watson Statistic, Nonparametric Test, Residual, Sample Mean, Sample Variance, Serial Correlation, Statistic, Statistical Dispersion, Statistical Rank

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References

Bartels, R. "The Rank Version of von Neumann's Ratio Test for Randomness." J. Amer. Statist. Assoc. 77, 40-46, 1982. https://doi.org/10.1080/01621459.1982.10477764.von Neumann, J. "Distribution of the Ratio of the Mean Square Successive Difference to the Variance." Ann. Math. Statist. 12, 367-395, 1941. https://doi.org/10.1214/aoms/1177731677.

Cite this as:

Weisstein, Eric W. "von Neumann Ratio." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/vonNeumannRatio.html

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