The Chi-squared Test of Independence for a Multi-way Contingency Table wish All Margins Fixed

  • Published : 1998.06.01

Abstract

To test the hypothesis of complete or total independence for a multi-way contingency table, the Pearson chi-squared test statistic is usually employed under Poisson or multinomial models. It is well known that, under the hypothesis, this statistic follows an asymptotic chi-squared distribution. We consider the case where all marginal sums of the contingency table are fixed. Using conditional limit theorems, we show that the chi-squared test statistic has the same limiting distribution for this case.

Keywords

References

  1. Communications in Statistics-Theory and Methods v.16 The Chi-Squared Test with Both Margins Fixed Alalouf, I.S.
  2. Annals of Mathematical Statistics v.32 Distribution Free Tests of Independence based on the Sample Distribution Function Blum, J.R.;Kieffer, J.;Rosenblatt, M.
  3. The Annals of Probability v.9 Some Conditional Limit Theorems in Exponential Families Holst, L.
  4. Communications in Statistics- Theory and Methods v.24 Some Remarks on the Chi-Squared Test with Both Margins Fixed Park, C.
  5. Sakhya Series A v.32 On a Class of Rank Order Tests for Independence in Multivariate Distributions Puri, M.L.;Sen, P.K.;Gokhale, D.V.
  6. Biometrika v.43 An Introduction to Some Nonparametric Generalizations of Analysis of Variance and Multivariate Analysis Roy, S.N.;Mitra, S.K.
  7. Matrix Algebra Useful for Statistic Searle, S.R.