Sample surveys is the most important branch of statistics. Without sample surveys there is no data, and without data there is no statistics. This book is the culmination of the lecture notes developed by the authors. The approach is theoretical in the sense that it gives mathematical proofs of the results in sample surveys. Intended as a textbook for a one-semester course for undergraduate seniors or first-year graduate students, a prerequisite basic knowledge of algebra, calculus, and statistical theory is required to master the techniques described in this book.
Sample Chapter(s)
Chapter 1: Simple Random Sampling (162 KB)
Contents:
- Simple Random Sampling
- Sampling with Varying Probabilities of Selection
- Stratified Sampling
- Systematic Sampling
- Ratio Method of Estimation
- Regression Method of Estimation
- Cluster Sampling
- Sub-Sampling Two-Stage and Three-Stage Sampling
- Double Sampling
- Non-Sampling Errors
Readership: Undergraduate and graduate students in statistics.
