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分层抽样

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METHODS: 5 184 people of non-manual workers and manual workers in city as well as farmers at different sex, aged from 20-59 years, were selected in Shijiazhuang, Cangzhou and Chengde with random sampling of stratified cluster in July 2000. They were assigned into 20-39 year group and 40-59 years group according to age to perform investigation of their physical work, which composed of strength of grasp, anteflexion of body when sitting, standing with single foot when closing eyes, back pressure, vertical jump, 10 m×4 return run, push-up, sit-up and choice of reaction time, etc. RESULTS: 4 800 people were involved in the result analysis.

于2000-07用分层整群的随机抽样方法抽取石家庄、沧州、承德3个城市不同性别的城市非体力劳动者、城市体力劳动者、农民3类职业人群的20~59岁公民5184名,按年龄分为20~39岁组和40~59岁组两组,对其进行体能测查,测查内容包括握力、坐位体前屈、闭眼单脚站立、背力、纵跳、10m×4往返跑、俯卧撑、仰卧起坐、选择反应时等。

Methods With stratified cluster sampling method,2 519 students were questionnaired in Anhui province.

采用分层整群抽样方法,对安徽省2519名中小学生进行问卷调查。

Methods Stratified cluster sampling was used to investigate villagers with questionnaire.

采用分层整群随机抽样方法,对家中有流动人口的村民进行调查。

The simulation results show that probability weighted least squares estimator and Quasi-Aitken weighted least squares estimator are unbiased estimators of regression coefficients.

研究方法系采用Monte Carlo模拟方式模拟比较最小平方法、分层加权最小平方法、机率加权最小平方法及Quasi-Aitken机率加权最小平方法在分层不等机率抽样下的表现。

Methods According to the classification of east, middle and west areas in China, as well as urban and rural, the multi-stage cluster probability sampling was used to select randomly total 17607 children under 5 years, whose weight and height were measured in standard method.

方法采用多阶段分层整群随机抽样的方法,按照东、中、西三类地区和城市、农村的分层原则,在全国选取17607名5岁以下儿童,测量儿童的身高和体重。

Stratified cluster sampling method, to branches, grade, gender-stratified sample mean, in December 2009 granted to the Southeast University.

采用分层整群抽样的方法,以系别、年级、性别为分层指样,于2009年12月向东南大学发放。

The simple random sampling plan and stratified random sampling plan has been introduced and the application means and effects of which also has been presented,it has some characteristics such as material precision and obvious reduce of sample size,and rational advice has been presented.

介绍了简单随机抽样和分层随机抽样方法及其在检测中的应用方法和效果。

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。

It is verified that th action's mean value of the expected value by simple radom sampling is equal to one by stratified radom sampling.

证明了在期望值决策准则下,用等概率分层随机抽样得到的方案收益期望值的均值,与用简单随机抽样得到的相同。

This paper discusses cluster sampling and stratified cluster sampling in continuous surveys with censuses.

本文讨论了连续调查中应用普查方法时的整群抽样和分层整群抽样。

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