Runs and Scans With Applications
Runs and Scans With Applications
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DOI：
10.1198/tech.2002.s77
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发表时间：
2002-11
期刊：
影响因子：
2.5
通讯作者：
M. Chernick
中科院分区：
文献类型：
--
作者：
M. Chernick
第八章讨论了两阶段整群抽样。两阶段抽样涉及使用从集群内的元素的子样本中获取的样本来估计总体参数。主要讨论的是等大小和不等大小的第一级单元及其均值、标准差和比例的估计。第9章讨论了比率和比率估计量，主要讨论了均值、总和和比率的估计；样本量的确定；相容区间；比率估计与分层；以及减少偏差。回归估计将在第10章中讨论。这一章首先简要讨论回归的基本概念。本章的其余部分将介绍回归在调查抽样中的应用。主题包括回归估计与策略、多元回归估计量和双抽样回归估计量。第11章涵盖了无反应和补救措施。主题包括单位无反应，项目无反应，应答率，平均值的估计，标准差和无反应的比例，分析后，以及权重和分配。第12章专门讨论了抽样调查中另外三个感兴趣的主题：线性化、小样本总体参数的估计和复杂调查的估计方法。作者出色地描述和讨论了非政府组织人口抽样调查中最常用的技术和程序。这些用来说明不同概念的例子对对抽样调查有一定了解的读者是有好处的，但对那些试图掌握抽样调查领域的个人来说可能不会有什么启发。抽样方法和应用程序属于那些在抽样调查领域工作的人的书架上，但我不建议那些刚刚开始从事抽样调查或试图发展自己的抽样调查的人。
Chapter 8 discusses two-stage cluster sampling. Two-stage sampling involves estimating the population parameters using samples taken from subsamples of elements within the clusters. The major discussion points are equaland unequal-size rst-stage units and estimation of their means, standard deviations, and proportions. Ratios and ratio estimators are discussed in Chapter 9. The major discussion points are estimation of the mean, total, and proportion; sample size determination; con dence intervals; ratio estimations versus strati cation; and bias reduction. Regression estimation is discussed in Chapter 10. The chapter begins with a brief discussion on the basic concepts of regression. The rest of the chapter is devoted to the use of regression in survey sampling. Topics include regression estimation versus strati cation, multiple regression estimators, and doublesampling regression estimators. Chapter 11 covers nonresponse and remedies. Topics include unit nonresponses, item nonresponses, response rates, estimations of mean, standard deviations and proportions with nonresponses, poststrati cation, and weighting and imputation. Chapter 12 is devoted to three additional topics of interest in sample surveys: linearization, estimation of the population parameters for small sample sizes and estimation methods for complex surveys. The author does an outstanding job describing and discussing the most commonly used techniques and procedures in sample surveys for nite populations. The examples used to illustrate the various concepts are good for readers with some understanding of sample surveys, but probably would not enlighten those individuals trying to gain a grasp of the eld of sample survey. Sampling Methodologies With Applications belongs on the bookshelf of those working in the eld of sample surveys, but I do not recommend it for those just starting in the eld or trying to develop their own sample surveys.