Further analysts of the data by akaike' s information criterion and the finite corrections
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Using Akaike's information criterion, three examples of statistical data are reanalyzed and show reasonably definite conclusions. One is concerned with the multiple comparison problem for the means in normal populations. The second is concerned with the grouping of the categories in a contingency table. The third is concerned with the multiple comparison problem for the analysis of variance by the iogit model in contingency tables, Finite correction of Akaike's information criterionis also proposed.
[1] G. W. Snedecor. Statistical Methods , 1964 .
[2] Approximate distribution of the maximum of c−1 x2-statistics (2 × 2) derived from 2 ×C contingency table , 1973 .
[3] H. Akaike. A new look at the statistical model identification , 1974 .
[4] N. Sugiura. Maximum likelihood estimates for the logit model and the iterative scaling method , 1974 .
[5] Statistical methods , 1980 .