有许多方法可以生成K 个系统的一个随机样本。
There are many ways to generate a random sample of K systems.
给出了常见的统计结构中随机样本和的分布的求解方法。
In this paper, the author arrives at the method keying to random sampling sum distribution in normal statistics structure.
母体，随机样本。样本统计， 样本平均数和变异数的动差。
Populations, random samples. Sample statistics, moments of the sample mean and variance.
以这些界为基础，给出基于双重随机样本的结构风险最小化原则。
Secondly, on the basis of these bounds, the idea of the structural risk minimization principle based on birandom samples is presented.
而这些案例不是随机样本，所以那些数据无法反映现实，无论那些数据是否对我们有利。
They are not a random sample, so those numbers do not represent reality whether or not those numbers serve our interests.
但这些实验数据是有问题的，拉姆索博士说，因为它们并非来自人群的随机样本。
But the problem with the lab data, Dr. Larmuseau said, was that it didn't come from a random sample of people.
梯形模糊数样本是一类非随机样本，本文将讨论基于梯形模糊数样本的支持向量机。
The trapezoidal fuzzy number sample is one of non-real random samples. This dissertation will discuss the support vector machine base on trapezoidal fuzzy numbers.
你的测试玩家人口不是随机样本，而是特定的样本拥有相同的动机和行为也会产生偏向。
Your test player population is not going to be random sample. It will be a self-selected sample whose average motivations and behavior will be biased.
我反对将那些案例研究处理成数字，因为只有我们所掌握的这些案例是随机样本时，那些数字才有效。
I am against processing those case studies into Numbers, because those Numbers would only be valid if the case studies we have are a random sample.
最后证明基于双重随机样本的统计学习理论的关键定理并讨论学习过程一致收敛速度的界。
Finally the key theorem of statistical learning theory based on random rough samples is proved, and the bounds on the rate of uniform convergence of learning process are discussed.
首先，这些证据并不是来源于全球性的随机样本中(它们都来自于那些有根深蒂固的科学传统的国家)。
First, the evidence is not derived from a random global sample (it tends to come from countries with a well-established scientific tradition).
商人圈（Merchant Circle）的调查是基于美国8456名小企业主这一随机样本进行的。
The Merchant Circle survey is based on a random sample of 8, 456 small business business owners in the United States.
目前国内进行的调查大都采用复杂抽样方案，但在分析时却常常采用只适用于简单随机样本的一般方法。
The problem of using ordinary statistical methods basically for simple random samples in analyzing data from complex surveys for non simple random samples was discussed.
捕获再捕获与捕获移出研究是数理统计的一个重要方向，它研究如何利用随机样本估计有限群体的总体数目。
The field of capture-recapture and removal is an important direction of mathematical statistics, which studies the estimation of the sizes of finite populations from incomplete random samples.
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.
Picardi和他的同事在实验中补充了一些年龄小于60岁、没有慢性疾病和主要的精神病史的女性护士作为随机样本。
For their study, Picardi and his colleagues recruited a random sample of female nurses, who were younger than 60 years old, had no chronic illnesses and no history of major psychiatric disorders.
我们从2007年9月和12月登记在现金薪酬项目的50,000多个家庭中抽取了895个家庭作为随机样本，还选择了921个类似的对照家庭，然后对它们开展了小组研究。
The panel study involved a random sample of 895 households from over 50 000 enrolled in a cash-for-work programme between September and December 2007 and 921 similar control households.
我们从2007年9月和12月登记在现金薪酬项目的50,000多个家庭中抽取了895个家庭作为随机样本，还选择了921个类似的对照家庭，然后对它们开展了小组研究。
The panel study involved a random sample of 895 households from over 50 000 enrolled in a cash-for-work programme between September and December 2007 and 921 similar control households.
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