Resampling Methods for Survey Data with Extensions in other Contexts

给定的统计数据有多准确？这可能是研究人员在使用统计数据来估计感兴趣的参数时提出的第一个问题。通过分析方法获得给定统计量（如方差）的精确度量并不总是容易的。这就是为什么重采样方法，如自举法，在文献中被广泛使用来估计这些测量。在我的研究计划中，我打算研究bootstrap方法的理论发展和实际应用，以建立新的想法。

How accurate is a given statistic? This might be the first question that a researcher asks once a statistic is used to estimate a parameter of interest. Obtaining accuracy measures of a given statistic, such as the variance, is not always easy through analytical methods. That is why resampling methods, such as the bootstrap, have been widely used in the literature to estimate such measurements. In my research program, I intend to study the theoretical developments and practical applications of bootstrap methods in order to establish new ideas.