样本均值：所有变量的总和除以变量的数量。
Mean: the sum of all variables divided by the number of variables.
从应用角度出发，解决了双样本均值向量和协方差矩阵的检验问题。
The testing problem of double sample's average vector and covariance matrix has been solved in the paper.
对于样本均值估计总体均值，给出了基于误差限制的样本容量的计算式。
The calculation formulas of sample size based on the error limitation are given for estimation of population mean.
我们有几种不同的方式去定义这个概念，取决于我们指的是，样本均值还是总体均值。
We can define it in a couple of different ways depending on whether we're talking about sample mean or population mean.
这种被称为人口测量学，因为他们是指整个人口可能的结果输出和测量概率，这是事实，但也有样本均值。
These are called population measures because they refer to the whole population of possible outcomes and they measure the probabilities. It's the truth, but there are also sample means.
并利用BP算法得到输出与样本均值之间的关系图，从系统输出值的归属区间判断初级指挥员素质的高低。
The BP algorithm was also adopted to get the relation image between output and average value of sample. The attri…
正态分布数据认为，样本中约68%的数值分布在距离平均值为1的标准偏差之内。
Normally distributed data assumes that about 68% of the values in the sample are within 1 standard deviation of the mean.
人口均值经常写成“x-条形柱”，如果你有一个样本有n个观测者，是从i=1到n和的xi/n，这是平均值。
The population mean is often written "x-bar." If you have a sample with n observations, it's the summation i = 1 to n of xi/n--that's the average.
本组样本scl- 90各因子分均值与常模比较，除人际关系因子分均值低于常模，差异具有显著性外，其它因子均统计学差别。
All the factor score of SCL-90 in this sample except for poor relationship with others is not difference between the cause group and the norm.
均值移位算法是一种搜索与样本点分布最相近模式的非参数统计方法。
The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution.
OD调查的目的是利用调查所得的OD数据对样本总体的均值作出统计推断。
The purpose of OD investigations is to make statistical estimation of the average value of the samples based on the OD data obtained.
方法采用贝塞尔统计方法处理样本数据，用Z比分数衡量一个实验室的检测结果与平均值的偏离程度。
Methods Besaier statistical method was chosen to process the data of the samples, Z-Score was chosen to evaluate the results and experimental deviation.
分析和实际模拟表明，在以正态分布进行抽样的前提下，合理选取抽样样本平均值和标准差，可使抽样效率进一步提高。
Theorical analysis and practical simulation indicate that if the samples are of normal distribution, the modelling efficiency can be increased further by using sensible parameters.
在模糊c -均值聚类的基础上选择训练样本，可以提高训练样本的准确度，满足了训练样本所需的单一性原则。
Selecting train sample on the basis of fuzzy C-mean clustering can improve accuracy of train sample, singleness of train samples can be satisfied.
该方法依据极大似然原理将来自不同母体(均值相同、方差不同)的随机样本有效融合，得到新的母体均值估计量。
According to maximum likelihood theory, it fuses random samples coming from different matrix (same mean different variance) in an effective way, and gains a nwe estimator of matrix mean.
同时，在模糊C-均值聚类基础上选择训练样本比起直接基于真实地物图选择，减少了主观因素对训练样本选择的影响，因此取得了更高的分类精度。
Selecting train sample on the basis of fuzzy C-mean clustering decreased subjective factor affecting selecting train sample, so higher classification accuracy can be achieved.
对于测试样本低于25以下时，几何平均值比中位数能更好的报告最佳任务完成时间中间值。
The Geometric Mean works better than the median for reporting the best middle task time for sample sizes less than 25.
如果你…像数叶子的睿都巴若那一样，只有部分样本的话，你可以来估计总体均值。
When you get — this is Rituparna, counting the leaves on a tree — you can estimate, from a sample, the population expected values.
基于两个基准模型和五个比较模型在不同预测水平下对样本外数据进行预测所得结果表明，五个比较模型在大多数情况下能够获得小于两个基准模型的均值损失。
We use two benchmark models and five competing models to forecast the inflation rate series, and the competing models often have a lower mean loss than the two benchmark models.
本文讨论了存在不回答样本单位时，有限总体均值的缺损样本估计。
This paper deals with the incomplete sample estimation of finite population mean in existing of nonrespondent sampling units.
6西格玛黑带应了解，根据所给量值(例如，平均值)是假设的，还是按样本估计的，在分析时需要不同的方法。
The Six Sigma Black Belt should know that different techniques are required for analysis depending on whether a given measure (e. g., the mean) is assumed known or estimated from a sample.
然后以K近邻规则为基础，计算出样本集的加权矩阵，最后得到基于K近邻加权的混合C均值聚类算法。
And then based on the K-nearest-neighbour rule, the weighted matrix of samples is computed. Lastly, weighted hybrid C-means clustering based on the K-nearest-neighbour rule is presented.
对基于不完备样本集的参数学习，则首先计算参数值的上限值和下限值，再利用某种策略，如平均值法，得到参数的最终估计值。
The upper limit and the lower limit is computed first when inducing the CPTs from uncompleted dataset, and the point value is estimated by some method such as averaging.
抽样分布样本效果大小的平均值可以作为总体效果大小的估计值 ，它与样本容量和抽样样本数目有密切关系 ；
The simulated experimental results showed that significance t testing is highly related to population distribution effect size and sample capacities, yet rarely related to the numbers of rand…
现有对中国居民收入性别差异的研究都是基于个人收入样本数据，进行收入差异均值分解和歧视定量研究。
The studies on gender income differentials which are based on individual income data in the literature decompose income differentials and measure the discriminatory.
基于K -均值算法的模糊分类器具有很好的分类效果，用它可以很准确的对训练样本进行分类。
For increasing classifiers classification rate, We make use of the fuzzy theories to K-means algorithm again.
IRIS数据检验表明，未确知均值聚类算法误判样本数少、收敛速度快、鲁棒性好，是一种实用、有效的无监督聚类算法。
The data of IRIS indicates that the algorithm possesses the better convergence, better robustness and it is an unsupervised clustering algorithm.
IRIS数据检验表明，未确知均值聚类算法误判样本数少、收敛速度快、鲁棒性好，是一种实用、有效的无监督聚类算法。
The data of IRIS indicates that the algorithm possesses the better convergence, better robustness and it is an unsupervised clustering algorithm.
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