在非寿险精算中，古典线性回归模型的假设很难得到满足。
In non-life insurance, the hypothesis of general linear model is hard to be satisfied.
人们以前常常采用古典线性回归模型对住院费用进行分析，但是古典线性回归模型是建立在一些假设之上的。
People used to analyze hospitalization expense with general linear models, but general linear model is built on some hypothesis.
对于广义回归模型，人们也总是假设数据具有名义离差，否则，统计推断更加困难。
For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.
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