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Estimation of treatment effects under combined sampling and experimental designs.

机译:结合采样和实验设计估算治疗效果。

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摘要

Over the years sampling and experimental design have developed independently with little mutual compatibility. However, many studies do (or should) involve both a sampling design and an experimental design. For example, a polluted site may be exhaustively partitioned into area plots, a random sample of plots selected, and the selected plots randomly assigned to three clean-up regimens. In this research the relationship between sampling design and experimental design is discussed and a basic review of each is given. An estimator that combines sampling and experimental design is presented and its development explained. Properties of this estimator will be derived and some applications of the estimator will be examined. Finally, a simulation study comparing this estimator with the traditional estimator will be presented.
机译:多年来,采样和实验设计是独立开发的,相互之间几乎没有兼容性。但是,许多研究确实(或应该)涉及抽样设计和实验设计。例如,可以将被污染的地点彻底地划分为面积图,选择的图的随机样本,以及将选定的图随机分配给三个清理方案。在这项研究中,讨论了抽样设计与实验设计之间的关系,并对每种设计进行了基本回顾。介绍了将采样和实验设计相结合的估算器,并解释了其发展。将推导出该估计器的属性,并将检查该估计器的某些应用。最后,将进行仿真研究,比较该估算器与传统估算器。

著录项

  • 作者

    Smith, Christina D.;

  • 作者单位

    Kansas State University.$bDepartment of Statistics.;

  • 授予单位 Kansas State University.$bDepartment of Statistics.;
  • 学科 Statistics.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 195 p.
  • 总页数 195
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 统计学;
  • 关键词

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