[1]HOU Ziyan,Yan Guangsong,Hara Xinfeng.The exponential distribution parameter maximally likelihood estimates the sample collapse point for the test[J].Journal of Zhengzhou University (Engineering Science),2001,22(01):49-51.[doi:10.3969/j.issn.1671-6833.2001.01.014]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
22卷
Number of periods:
2001年01期
Page number:
49-51
Column:
Public date:
1900-01-01
- Title:
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The exponential distribution parameter maximally likelihood estimates the sample collapse point for the test
- Author(s):
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HOU Ziyan; Yan Guangsong; Hara Xinfeng
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- Keywords:
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- CLC:
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- DOI:
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10.3969/j.issn.1671-6833.2001.01.014
- Abstract:
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How to quantify the insensitivity of a statistical method to outliers has always been an important topic in robust statistical research. The sample collapse point of the test is the minimum proportion of outliers in the sample that can reverse the verdict. On the basis of studying relevant literature, the sample collapse point of the exponential distribution parameter maximum likelihood estimation test is calculated, and the asymptotic normality of the sample collapse point is analyzed, which provides a new way for the robustness of quantitative statistical methods.