Hannan-Quinn criter 是啥意思，求翻译加解释

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如题Hannan-Quinn criter.是啥意思啊，求解释加翻译

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关键词：criter Hannan crit ITER Anna

Hannan-Quinn Criterion (HQC) 是统计计算中的一种模型选择标准. 相对于贝叶斯信息标准（Bayesian information criterion = BIC）标准的另外一种标准模型。

统计计算中的一种模型选择标准

yiyeluo 发表于 2012-5-23 08:43
统计计算中的一种模型选择标准

那要怎么翻译呢

汉南-奎因准则

就是g(T)=(2lnlnT)/T，那个模型选择标准，选择是一致的

In statistics, the Hannan–Quinn information criterion (HQC) is a criterion for model selection. It is an alternative to Akaike information criterion (AIC) and Bayesian information criterion (BIC). It is given as

{\displaystyle \mathrm {HQC} =-2L_{max}+2k\ln(\ln(n)),\ } {\displaystyle \mathrm {HQC} =-2L_{max}+2k\ln(\ln(n)),\ }
where {\displaystyle L_{max}} {\displaystyle L_{max}} is the log-likelihood, k is the number of parameters, and n is the number of observations.

Burnham & Anderson (2002, p. 287) say that HQC, "while often cited, seems to have seen little use in practice". They also note that HQC, like BIC, but unlike AIC, is not an estimator of Kullback–Leibler divergence. Claeskens & Hjort (2008, ch. 4) note that HQC, like BIC, but unlike AIC, is not asymptotically efficient, and further point out that whatever method is being used for fine-tuning the criterion will be more important in practice than the term ln ln n, since this latter number is small even for very large n.