| 卡方分布与F分布判别的假设检验 |
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| 引用本文： | 张智霞,刘瑞元.卡方分布与F分布判别的假设检验[J].高师理科学刊,2008,28(3):33-35. |
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| 作者姓名： | 张智霞 刘瑞元 |
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| 作者单位： | 1. 青海大学,财经学院,青海,西宁,810012
2. 青海师范大学,效学系,青海,西宁,810008 |
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| 摘 要： | χ2(m)分布与F(m1,m2)分布的密度函数的图像都是只取非负值的偏态分布,而且二者密度函数图像类似,因此二者的分布函数以及经验分布函数的图像也同样类似.对于一组来自χ2(m)分布或F(m1,m 2)分布的数据,用通常的作经验分布函数图像的方法,难以区分这组数据到底来自哪一个总体.提出了用假设检验的方法判断一组来自χ2(m)分布或F(m1,m2)分布数据是服从χ2(m)分布还是服从F(m1,m 2)分布.
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| 关 键 词： | χ2分布 F分布 假设检验 |
| 文章编号： | 1007-9831(2008)03-0033-03 |
| 修稿时间： | 2007年11月30 |
The hypothesis testing about how to tell X2 distribution and F distribution |
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| ZHANG Zhi-xia,LIU Rui-yuan.The hypothesis testing about how to tell X2 distribution and F distribution[J].Journal of Science of Teachers＇College and University,2008,28(3):33-35. |
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| Authors: | ZHANG Zhi-xia LIU Rui-yuan |
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| Abstract: | The image of χ2 distribution's density function and F distribution's density function are the skewness distribution of non-negative member.However,the image of the two density function are similar,so the images of their distribution function and empirical distribution function are similar too.For a group of data collected from χ2 distribution or F distribution,it is difficult to judge where they are from if use the usual way of making image about empirical distribution function.Proposed a scientific method of the hypothesis testing to distinguish F distribution and χ2 distribution. |
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| Keywords: | χ2 distribution F distribution hypothesis testing |
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