Essentials Of Survey Sampling

Contents Preface 1. Survey Sampling: An Overview 2. Basic Aspects of Survey Sampling 3. Methods of Sample Selection and Estimation with Their Properties 4. Super-population Modelling 5. Double Sampling and Non-sampling Errors 6. Adaptive, Network and Controlled Sampling 7. Indirect Survey Techniques 8. Rotational Sampling for Business Surveys 9. Developing Small Domain Statistics Case Studies Exercises Suggested Further Readings References Index 

The author focuses on using sampling techniques and ideas to solve real problems. This text includes different sampling methods and different sample allocation plans to create the powerful, cost effective survey sample design for your study. It covers a wide range of sampling methods--simple random sampling, stratified sampling and cluster sampling. The book also describes the mathematics involved behind the confidence limits, ratio estimation, sample size and survey precision. Small area estimation, randomized response, network, adaptive sampling, control sampling and permanent random numbers are also discussed in addition to most of the classical topics.