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常用主变量筛选方法及其应用特性分析
The Common Primary Variable Selection Methods and Its Application Characteristics
【摘要】 本文通过对几种常用主变量筛选方法及其应用特性进行分析可知,在选择主变量筛选方法时,要充分根据回归模型的属性、样本数据的大小、实现的难易程度及各主变量筛选方法的应用特性综合考虑选择合适的方法。
【Abstract】 This article through analysis the several common primary variable selection methods and its application characteristics,we can find that,it is necessary to select the appropriate method fully based on the properties of regression model,the size of sample data,the implementation of the difficult degree and the application features of primary variable selection methods.
【关键词】 主变量筛选;
应用特性;
结合法;
【Key words】 Primary Variable Selection; Application Features; Binding Method;
【Key words】 Primary Variable Selection; Application Features; Binding Method;
- 【文献出处】 江西中医学院学报 ,Journal of Jiangxi University of Traditional Chinese Medicine , 编辑部邮箱 ,2013年05期
- 【分类号】O212.1
- 【被引频次】2
- 【下载频次】211