PIC: Power Divergence Information Criterion

Noel Cressie

Chapter 1 in Statistical Theory and Applications, 1996, pp 3-14 from Springer

Abstract: Abstract In this article, the power divergence statistics are adapted to a family of information criteria that includes Akaike’s information criterion as a special case. The principal application here is to problems involving counts and proportions, although the power-divergence information criterion (PIC) can be used in all those situations where one finds other information criteria being used, such as in the problem of model selection.

Keywords: Akaike’s information criterion; categorical data; model selection; power divergence statistics (search for similar items in EconPapers)
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-3990-1_1

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DOI: 10.1007/978-1-4612-3990-1_1

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