内容简介
《应用抽样技术》一书系统介绍了统计学中抽样技术的核心内容，包括简单随机抽样、分层随机抽样、系统抽样、单级整群抽样、两级抽样，以及比率估计、回归估计等。
为了帮助读者更好掌握抽样方法及其数据分析，本书选用了有针对性的例题和模拟案例，强调抽样方法的严谨性，对每个结论力图给出其简洁的推导过程，便于读者准确理解抽样方法的假设条件和适用范围。同时，本书注重抽样方法的应用性，介绍了每种抽样方法的优良性和应用场合。略去推导过程并不妨碍对本书中核心内容的理解。本书还介绍了无回答和捕获再捕获抽样等问题的最新研究结果，期望读者了解抽样技术理论的前沿进展。
本书可以用作统计学专业本科生和研究生的抽样技术课程教材，也可以用作非统计学专业本科生、硕士生或从事抽样调查的相关人员的参考书。
《Applied Sampling Techniques》 systematically introduces the commonly used statistical sampling techniques including simple random sampling, stratified sampling, systematic sampling, cluster sampling, two-stage cluster sampling, and ratio estimators and regression estimators, etc.
To help readers better understand the sampling procedures and the data analysis methods, this book selects targeted examples and simulation cases, emphasizes the rigor of sampling methods and provides a simple derivation for each conclusion so that the readers can easily understand the assumptions and scopes of sampling methods. In the meantime, this book focuses on the application of sampling methods and discusses the advantage and application for each method. Skipping the derivation does not affect the understanding of the core content of the book. This book also describes the latest research results in non-responses and capture-recapture samplings, so the reader is exposed to the forefront of progress in the theory of sampling techniques.
This book can be used as a textbook of a sampling course for senior undergraduate and first-year graduate students in statistics, and it can also be used as a reference book for the non-statistics major undergraduate and graduate students as well as the readers who are interested in sample survey.
