Sample Surveys: Design, Methods and Applications

Contains comprehensive account of sample surveys theory and practice. This title deals with methods of sample selection and data processing, including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. It is suitable for researchers and practitioners.

Autorentext
book Ancient Inhabitants of Jebel Moya” published by the Cambridge Press under the joint authorship of Rao and two anthropologists. On the basis of work done at CU during the two year period, 1946-1948, Rao earned a Ph.D. degree and a few years later Sc.D. degree of CU and the rare honor of life fellowship of Kings College, Cambridge. He retired from ISI in 1980 at the mandatory age of 60 after working for 40 years during which period he developed ISI as an international center for statistical education and research. He also took an active part in establishing state statistical bureaus to collect local statistics and transmitting them to Central Statistical Organization in New Delhi. Rao played a pivitol role in launching undergraduate and postgraduate courses at ISI. He is the author of 475 research publications and several breakthrough papers contributing to statistical theory and methodology for applications to problems in all areas of human endeavor. There are a number of classical statistical terms named after him, the most popular of which are Cramer-Rao inequality, Rao-Blackwellization, Rao's Orthogonal arrays used in quality control, Rao's score test, Rao's Quadratic Entropy used in ecological work, Rao's metric and distance which are incorporated in most statistical books.

He is the author of 10 books, of which two important books are, Linear Statistical Inference which is translated into German, Russian, Czec, Polish and Japanese languages,and Statistics and Truth which is translated into, French, German, Japanese, Mainland Chinese, Taiwan Chinese, Turkish and Korean languages.

He directed the research work of 50 students for the Ph.D. degrees who in turn produced 500 Ph.D.'s. Rao received 38 hon. Doctorate degree from universities in 19 countries spanning 6 continents. He received the highest awards in statistics in USA,UK and India: National Medal of Science awarded by the president of USA, Indian National Medal of Science awarded by the Prime Minister of India and the Guy Medal in Gold awarded by the Royal Statistical Society, UK. Rao was a recipient of the first batch of Bhatnagar awards in 1959 for mathematical sciences and and numerous medals in India and abroad from Science Academies. He is a Fellow of Royal Society (FRS),UK, and member of National Academy of Sciences, USA, Lithuania and Europe. In his honor a research Institute named as CRRAO ADVANCED INSTITUTE OF MATHEMATICS, STATISTICS AND COMPUTER SCIENCE was established in the campus of Hyderabad University.

Inhalt
Part 1. Sampling and Survey Design
Introduction to Part 1

1. Introduction to Survey Sampling
2. Sampling with Unequal Probabilities
3. Two-Phase Sampling
4. Multiple-Frame Surveys
5. Designs for Surveys over Time
6. Sampling of Rare Populations

7. Design, Conduct, and Analysis of Random-Digit Dialing Surveys

   Part 2. Survey Processing
   Introduction to Part 2

8. Nonresponse andWeighting
9. Statistical Data Editing
10. Imputation and Inference in the Presence of Missing Data
11. Dealing with Outliers in Survey Data
12. Measurement Errors in Sample Surveys
13. Computer Software for Sample Surveys
14. Record Linkage

15. Statistical Disclosure Control for Survey Data

    Part 3. Survey Applications
    Introduction to Part 3

16. Sampling and Estimation in Household Surveys
17. Sampling and Estimation in Business Surveys
18. Sampling, Data Collection, and Estimation in Agricultural Surveys
19. Sampling and Inference in Environmental Surveys
20. Survey Sampling Methods in Marketing Research: A Review of Telephone, Mall Intercept, Panel, andWeb Surveys
21. Sample Surveys and Censuses

22. Opinion and Election Polls
    Volume 29B: Inference and Analysis

    Part 4. Alternative Approaches to Inference from
    Introduction to Part 4

23. Model-Based Prediction of Finite Population Totals
24. Design- and Model-Based Inference for Model Parameters
25. CalibrationWeighting: Combining Probability Samples and Linear Prediction Models
26. Estimating Functions and Survey Sampling
27. Nonparametric and Semiparametric Estimation in Complex Surveys
28. Resampling Methods in Surveys
29. Bayesian Developments in Survey Sampling

30. Empirical Likelihood Methods

    Part 5. Special Estimation and Inference Problems

31. Design-based Methods of Estimation for Domains and Small Areas
32. Model-Based Approach to Small Area Estimation
33. Design and Analysis of Surveys Repeated over Time
34. The Analysis of Longitudinal Surveys
35. Categorical Data Analysis for Simple and Complex Surveys
36. Inference on Distribution Functions and Quantiles

37. Scatterplots with Survey Data

    Part 6. Informative Sampling and Theoretical Aspects

38. Population-Based Case-Control Studies
39. Inference under Informative Sampling
40. Asymptotics in Finite Population Sampling
41. Some Decision-Theoretic Aspects of Finite Population Sampling