Biased Sampling, Over-Identified Parameter Problems and Beyond

By Jing Qin

Chapter 1. Some Examples on Biased Sampling Problems.- Chapter 2. Some Results in Parametric Likelihood and Estimating Functions.- Chapter 3. Nonparametric Maximum Likelihood Estimation and Empirical Likelihood Method.- Chapter 4. General Results in Multiple Samples Biased Sampling Problems with Applications in Case and Control and Genetic Epidemiology.- Chapter 5. Outcome Dependent Sampling Problems.- Chapter 6. Missing Data Problem and Causal Inference.- Chapter 7. Applications of Exponential Tilting Models in Finite Mixture Models.- Chapter 8. Applications of Empirical Likelihood Methods in Survey Sampling.- Chapter 9. Some Other Topics.

• Format: Hardcover
• Language: English
• ISBN: 9811048541
• ISBN13: 9789811048548
• Release Date: June 2017
• Publisher: Springer
• Length: 624 Pages
• Weight: 2.35 lbs.
• Dimensions: 1.4" x 6.1" x 9.2"