Sampling: Design & Analysis 3/e [Lohr] 9780367279509

"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor of survey statistics will gain even more from the content that SDA offers. The updates to SDA have potential to enrich traditional survey sampling classes at both the undergraduate and graduate levels. The new discussions of low response rates, non-probability surveys, and internet as a data collection mode hold particular value, as these statistical issues have become increasingly important in survey practice in recent years… I would eagerly adopt the new edition of SDA as the required textbook." (Emily Berg, Iowa State University)

What is the unemployment rate? What is the total area of land planted with soybeans? How many persons have antibodies to the virus causing COVID-19? Sampling: Design and Analysis, Third Edition shows you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology. Readers should be familiar with concepts from an introductory statistics class including probability and linear regression; optional sections contain statistical theory for readers familiar with mathematical statistics.

頁數：674
版次：第3版
年份：2022年
規格：精裝/單色
ISBN：9780367279509

1. Introduction 
2. Simple Probability Samples 
3. Stratified Sampling 
4. Ratio and Regression Estimation 
5. Cluster Sampling with Equal Probabilities 
6. Sampling with Unequal Probabilities 
7. Complex Surveys 
8. Nonresponse 
9. Variance Estimation in Complex Surveys 
10. Categorical Data Analysis in Complex Surveys 
11. Regression with Complex Survey Data  
12. Two-Phase Sampling   
13. Estimating the Size of a Population 
14. Rare Populations and Small Area Estimation 
15. Nonprobability Samples 
16. Survey Quality
A Probability Concepts Used in Sampling