【24h】

Study on Sample Outliers Statistical Test Methods

机译:样本异常值统计试验方法研究

获取原文

摘要

The existence of outliers reduces the quality of data to a great extent, and makes the corresponding results of data analysis significantly change more, which will lead to people's inaccurate judgments. In this article, we discuss the characteristics and origin of outliers, and introduce some test methods of normal distribution sample: sample quantity method, Dixon test method, Grubbs test method and Nair test method. Finally through example comparison, we have found that the test effect is associated with significant level.
机译:异常值的存在将数据质量降低到很大程度上,并使数据分析的相应结果显着变化更多,这将导致人们不准确的判断。在本文中,我们讨论了异常值的特点和起源,并引入了一些正态分布样品的测试方法:样品量方法,Dixon测试方法,Grubbs测试方法和Nair测试方法。最后通过示例比较,我们发现测试效果与显着水平相关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号