简单随机样本

简单随机样本平方平均数的分布

On the distribution of root - mean - square value of simple random sample

将基于简单随机样本的抽样分布定理，推广到异方差样本和常相关样本的情形，为研究非简单随机样本的统计推断理论与应用作基础。

In this paper , the sampling distribution theory based on simple random sample is extended to the case for heteroscedasticity and constant correlation sample , which has set up the basis for studying the statistical inference theory and application of non simple random sample .

证明了LocationIndependentRiskierOrder随机序关系关于简单随机样本的极小值与可微递增凹变换的封闭性质，并讨论了Dilation序关系的一些矩不等式。

The location independent riskier order is proved to be closed under the minima of independent and identical copies and the increasing concave transformation which is differentiable . Moment inequalities concerned with dilation order are derived as well .

非简单随机样本下导弹平均命中率的检验与估计

Test and Estimation of Missiles ′ Mean Hit Ratio Unsimple Random Samples

而不重复抽样下的样本同分布但不独立，因而不是简单随机样本。

While samples under non-repetition sampling are identically distributed but not independent , so they are not simple random samples .

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 .

群样本检验中，系统抽样群样本检验和分层随机抽样群样本检验的效果优于简单随机抽样群样本检验。

During the course of cluster sample verification , systematic sampling and stratified sampling 's accuracy are prior to simple random sampling ' s.

在简单随机抽样中，样本均值是总体均值的无偏估计。

In a simple random sampling , the sample mean is an unbiased estimate of the population mean .

接着，本研究将问卷的抽样总体确定为制造业行业企业，用简单随机抽样法选取样本。

Regard the registers of manufacturing enterprises of every area as the framework of sampling , the sample is chosen the by simple random sampling law .

在此基础上数学界将实际工作中各种可能始点的抽样方法赋予理性思考、研究，获得结论：无限制抽样和简单随机抽样条件下样本方差是总体方差的无偏估计量。

On this basis , Mathematics circle give rational thinking and study of different sample methods In the real work and obtain the conclusion : The variance of the sample is that population variance has no estimator of leaning towards in sampling unrestrictedly and Simple random sampling .