抽样理论与方法
2005-6
机械工业出版社
扎库拉・戈文达拉玉卢
416
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《抽样理论与方法（英文版）》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。 《抽样理论与方法（英文版）》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 Introduction1.2 A Brief History of survey sampling1.3 Sampling Designs and an overview of sampling1.4 Ingredients of a survey1.5 Probability sampling1.6 Precision and confidence intervals1.7 Biased estimators1.8 The mean-squared error1.9 Unbiased estimationPROBLEMSREFERENCES2. Varying Probability Sampling.2.1 Introduction2.2 Obtaining Varying-probability samples2.3 Sampling designs2.4 Sufficiency in sampling from finite populations2.5 Samling with varying probabilities and without replacementPROBLEMSREFERENCES3. 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 ProblemsList of Cumulative ReferencesAuthor IndexSubject Index
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