更新时间：2023-07-16 23:14
《抽样理论与方法》是2005年机械工业出版社出版的图书，作者是扎库拉・戈文达拉玉卢。
本书全面介绍了抽样调查的基本理论和方法，并结合实践给出许多调查示例。参照这些例证过程，读者可以设计出精确度高、成本低的抽样调查方案。不同于一般介绍抽样调查的书籍，本书着重强调采用现代统计方法学来设计抽样调查方案及分析数据。书中介绍了许多流行的抽样调查方法，如不等概率抽样法、贝叶斯方法、刀切法、自助法、多重抽样法等。而且，每章的结尾都给出与具体数据相关的习题和参考文献。
本书只要求读者具备高等代数和概率统计基础知识，适合作为高等院校高年级本科生和研究生的教材，也可供进行抽样调查的实际工作者使用。
1. Preliminaries.
1.1 Introduction
1.2 A Brief History of survey sampling
1.3 Sampling Designs and an overview of sampling
1.4 Ingredients of a survey
1.5 Probability sampling
1.6 Precision and confidence intervals
1.7 Biased estimators
1.8 The mean-squared error
1.9 Unbiased estimation
PROBLEMS
REFERENCES
2. Varying Probability Sampling.
2.1 Introduction
2.2 Obtaining Varying-probability samples
2.3 Sampling designs
2.4 Sufficiency in sampling from finite populations
2.5 Samling with varying probabilities and without replacement
PROBLEMS
REFERENCES
3. Simple Random Sampling.
……
4. Estimation of the Sample Size.
5. Stratified Sampling.
6. Ratio Estimators.
7. Regression Estimators.
8. Systematic Sampling.
9. Cluster Sampling.
10. Varying Probability Sampling: Without Replacement.
11. Two-Phase and Repetitive Sampling.
12. Two Stage Sampling.
13. Non-Sampling Errors.
14. Bayesian Approach for Inference in Finite Populations.
15. The Jackknife Method.
16. The Bootstrap Method.
17. Small Area Estimators.
18. Imputation Methods.
Answers to Selected Problems
List of Cumulative References
Author Index
Subject Index