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目的 具有多层次结构特征的多分类离散数据不宜用常规方法分析 ,本文探讨了多水平多项式模型原理应用。方法 分别从无序和有序分类两种情形 ,研究多水平多项式模型的构造及估计的实现。结果 实例验证多水平模型能给予准确而详尽的结果。结论 对多层次结构的多分类离散数据应使用多水平多项式模型分析 ,在实际应用时 ,还应注意模型的构造及估计方法的选择
Objective Multi-class discrete data with multi-level structural characteristics should not be analyzed by conventional methods. This paper discusses the application of multi-level polynomial model principles. Methods We studied the construction of multi-level polynomial model and the realization of estimation from two cases of disordered and ordinal classification respectively. Results Example validation Multi-level models can give accurate and detailed results. Conclusion Multi-level discrete data of multi-level structure should be analyzed using multi-level polynomial models. In practical applications, attention should also be paid to the selection of model construction and estimation methods.