Further analysis of the data by Akaike's information criterion and the finite corrections

1978/01/01 by Nariaki Sugiura · 4 citations
Mathematics · #Advanced Statistical Methods and Models #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Akaike information criterion #Contingency table #Bayesian information criterion #Mathematics #Statistics #Variance (accounting) #Table (database) #Model selection #Information Criteria #Selection (genetic algorithm) #Econometrics #Computer science #Data mining #Artificial intelligence

paper · doi:10.1080/03610927808827599

openalex publication_date 1978/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04

Abstract

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.

Citations

• A new look at the statistical model identification

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