《抽樣理論與方法》是2005年機械工業出版社出版的圖書，作者是扎庫拉・戈文達拉玉盧。
基本介紹
- 書名：抽樣理論與方法
- 作者：扎庫拉・戈文達拉玉盧
- ISBN：9787111158899
- 頁數：416
- 定價：55.00元
- 出版社：機械工業出版社
- 出版時間：2005-6
- 裝幀：平裝(無盤)
- 叢書： 經典原版書庫
內容簡介,目錄,
內容簡介
本書全面介紹了抽樣調查的基本理論和方法，並結合實踐給出許多調查示例。參照這些例證過程，讀者可以設計出精確度高、成本低的抽樣調查方案。不同於一般介紹抽樣調查的書籍，本書著重強調採用現代統計方法學來設計抽樣調查方案及分析數據。書中介紹了許多流行的抽樣調查方法，如不等機率抽樣法、貝葉斯方法、刀切法、自助法、多重抽樣法等。而且，每章的結尾都給出與具體數據相關的習題和參考文獻。
本書只要求讀者具備高等代數和機率統計基礎知識，適合作為高等院校高年級本科生和研究生的教材，也可供進行抽樣調查的實際工作者使用。
目錄
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
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
