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样本分布

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A sequenced method in consideration of the sample range was proposed to rationally array classifiers of a support vector machine with binary tree architecture. A sample distribution radius and a sample distribution distance were introduced to estimate sample range of all classes in high-dimension characteristic space. The classes with bigger sample range were classified earlier in the higher nodal point of the binary tree architecture, and were given wider classificatory areas in the characteristic space.

考虑到样本的分布情况对分类器推广能力具有较大影响,提出一种次序二叉树支持向量机多类算法,采用样本分布半径和样本分布距离估算各个类别的样本在高维特征空间中的分布情况,把分布半径较大的类别或者分布距离较大的类别较早地分出来,并且在特征空间中给其划分较大的分类区域。

What is the sampling distribution of a regression coefficient?

分别回答什么是回归系数,什么是回归系数的样本分布

When product life time follows exponential distribution, an approximate method of the point-estimation for the exponential distribution under multiply type-Ⅰ censoring is provided.

文中在寿命分布为指数分布时,给出寻求定时截尾寿命试验数据缺失场合下样本分布参数点估计的一种近似方法。

In this paper,the algorithm of a kind of hierarchical competitive covering networks for the classification problems is proposed based on the introduction of quotient space theory,which defines granularity according to Huffman coding and Huffman coding algorithm.

文中在此基础上,利用商空间的粒度原理和霍夫曼编码的思想,对样本分布极其不均匀的分类问题,构造分层竞争覆盖网络。

Now we know that the sampling distribution of our estimate is centered around the true parameter.

现在我们知道估计值的样本分布是以真实参数为中心的。

The large sample approximation to the sampling distribution is often called the asymptotic distribution.

样本分布的大样本近似常称为渐近分布。

We have discussed the expected value and variances of the OLS estimators, but to perform statistical inference, we wish to know the full sampling distribution.

我们已经讨论了OLS估计量的期望和方差,但是为了进行统计推断,我们仍希望知道样本分布

Unlike unbiasedness―which is a feature of an estimator for a given sample size―consistency involves the behavior of the sampling distribution of the estimator as the sample size n gets large.

无偏性是,给定样本容量n下,估计量的性质;一致性则是,当样本容量n变大时,估计量的样本分布的变化特征。

After that, I use those attributes to run cluster analysis with all the scattered sherds.

为了了解陶容器能否有效建构,笔者以社口遗址出土的陶质资料进行研究,先以经过修复组合成陶容器的样本为例,对其中的陶片进行属性登录,寻找最适合用来进行陶容器单位建构的分群属性组合;其次,将所选出的属性组合利用统计的集群分析方法套用在未知群组的陶片样本中,依照分群的结果建构出陶容器单位,并且根据样本分布的状况检视陶容器单位的建构成果是否能被认定为有效。

And has done the tired life test of the hypoid gear. As the samples of the test data of gear life test is very few, the author has made the error model of tes tinghypotheses when using k-s method, the auther presented a testing hypotheses method which can make use of the information of the samples and reduce the error of probability Calculation. It is Called"the improved K-s method". The author has used this method to deal witch the life test datas and the result is identical with the result of the theoretical calculation.

为对锥齿轮进行疲劳寿命试验,结合其它科研项目,研制了多功能数控齿轮传动试验台,并在该试验台上以SC110锥齿轮为试件进行了疲劳寿命试验,针对齿轮寿命试验数据一般样本很少的情况,建立了用K—S法进行分布律假设检验的误差模型,并提出了一种能充分利用样本信息,大大提高检验精度的小样本分布假设检验的新方法——改进的K—S法,并用该法对寿命试验数据进行了处理,得到了与理论分析计算一致的结论。

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