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1/n - Proportional Correction to Tests of Independence

DOI: 10.4236/am.2025.163013, PP. 262-274

Keywords: Test of Independence, Asymptotic Distribution, Chi-Square Test, Contingency Tables, G-Test, Kronecker Product

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Abstract:

It is known that both the Pearson and G-test of independence have the same asymptotic distribution, namely χ 2 with ( K1 )( M1 ) degrees of freedom, where K and M are the number of levels, respectively, of two attributes. However, when extending the accuracy ot this approximation by 1 n -proportional terms, the resulting corrections differ quite dramatically. The purpose of this article is to derive each of these corrections and demonstrate their use in practical application.

References

[1]  Kendall, M.G. and Stuart, A. (1973) The Advanced Theory of Statistics, Vol. 2, Chapter 33. Harper Publishing Company.
[2]  MacDonald, H.J. (2014) G-Test of Goodness-of-Fit, Handbook of Biological Statistics. 3rd Edition, Sparky House Publishing, 53-58.
[3]  Sokal, R.R. and Rohlf, F.J. (1981) Biometry: The Principles and Practice of Statistics in Biological Research. 2nd Edition, Freeman.
[4]  Wikipedia. Kronecker Product.
[5]  Wikipedia. Woodbury Matrix Identity.
[6]  Wikipedia. Sylvester’s Determinant Identity.
[7]  Serfling, R.J. (1980). Approximation Theorems of Mathematical Statistics. Wiley.
https://doi.org/10.1002/9780470316481
[8]  Vrbik, J. (2014) Improving Accuracy of Test of Independence. Advances and Applications in Statistics, 39, 91-94.

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