| 指数分布样本多个异常数据的检测 |
| |
| 引用本文： | 朱宏. 指数分布样本多个异常数据的检测[J]. 电子学报, 1994, 22(12): 95-99,73 |
| |
| 作者姓名： | 朱宏 |
| |
| 作者单位： | 电子科技大学应用数学系 |
| |
| 基金项目： | 电子科技大学青年科学基金 |
| |
| 摘 要： | 针对指数分布样本中出现同侧的多个异常数据时，中国国家标准ＧＢ８０５６－８７规定的检测方法检测效果不好的缺陷，提出新的检测方法，推导出检验统计计量的分布密度函数。
|
| 关 键 词： | 异常数据 指数分布 检验统计量 样本 稳健性 |
Detection of Many Outlying Observations in Exponential Sample |
| |
| Zhu Hong. Detection of Many Outlying Observations in Exponential Sample[J]. Acta Electronica Sinica, 1994, 22(12): 95-99,73 |
| |
| Authors: | Zhu Hong |
| |
| Abstract: | The detecting method which is stipulated by State Standard of China(GB8056-87) is not effective in such a case that many outlying observations appear at the same side in the exponential sample. To conquer this shortcoming,a new detecting method is proposed. The distribution density function of the new test statistics is obtained. |
| |
| Keywords: | Outlying observation Exponential distribution Test statistic Sample Robustness |
| 本文献已被 CNKI 维普 等数据库收录！ |
