有關Akaike資訊準則及其在因子分析模型的應用

Abstract

In this paper, we improve the Akaike's information criterionby considering the asymptotic bias of the maximum likelihood with the rateof convergence o(1/n). In particular, we apply the proposed finitecorrection of Akaike's information criterion to factor analysis models.