样本问题

In the ease of small sample or indefinite error distribution , there is a problem of unlikelihood of statistical referrer .

在小样本或者模型误差分布不明确的情况下，该方法存在统计推断不可信问题。

A major problem lies in determining the extent to which the chosen sample is representative.

一个主要问题在于确定在何种程度上选择样本的代表性。

Purpose To solve the problem of sampling within household in resident health survey and generate a representative sample.

目的 解决居民健康调查中入户后的抽样问题，产生代表性较好的研究样本。

While the LCLS method is used to minimize the energy of the linearly fused information, the neural-network algorithm is developed to overcome the ill-conditioned and singular problems of the sample covariance matrix in the LCLS method.

LCLS方法用来最小化线性融合信息的能量，而神经网络算法则用来处理出现于LCLS方法中的样本协方差矩阵的不良条件和奇异性问题。

In chapter 10, we propose the random weighting approximation method for distribution of sample mean under simple random sampling in one-dimensional finite population.

第十章 将随机加权法首次应用到简单随机抽样方案下的样本均值分布逼近问题中，从数字特征角度说明了随机加权方法在抽样理论中的可用性，从而拓广了随机加权法的应用范围。

The analytic model of ANSYS was also set up based on the unified theory, the limitation of the neural network sample space can be solved and the formula application range is extended.

建立了基于统一理论的ANSYS有限元解析模型，解决了神经网络样本空间小的问题，拓展了公式的适用范围。

Meanwhile, because of the complexity of practical projects, the mathematical model of the structural optimization is always complicated, and its workload is quite heavy. In order to increase computational efficiency and save the storage space in computer, it is always demanded to seek the best theme in a small sample space.

然而由于实际工程问题的复杂性，结构优化设计的数学模型往往是比较复杂的，计算工作量相当大，为了提高计算效率和节省计算机存储空间，往往要求在小规模的样本空间中进行遗传算法寻优。

Samples of the questionable scallops have been taken.

已抽取怀疑有问题的带子作为样本。

Population and sample, data collection and the election of variables and properly understanding of simple hypothesis, etc.

本章对实证会计研究中的总体与样本，数据的收集与变量的选取，使用简单原假设应注意的问题等，都从统计学的角度作了较深入的阐述，其中有些新意。

Consequently, investigated in detail are several concrete complementing schemes based on simple random sampling, stratified sampling.

摘要本文研究了不放回追加策略，包括基本设计和域追加设计都为简单随机抽样、分层随机抽样情形下不放回样本追加时域的估计的问题。

Do you know, i need you to come back

你知道吗，我需要你回来

Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。