Biased Sampling, Over-identified Parameter Problems and Beyond

• Main Author: Qin, Jing (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Series: ICSA Book Series in Statistics,
• Subjects: Statistics.; Applied mathematics.; Engineering mathematics.; Economic theory.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Applications of Mathematics.; Economic Theory/Quantitative Economics/Mathematical Methods.

This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems. Biased sampling problems appear in many areas of research, including Medicine, Epidemiology and Public Health, the Social Sciences and Econ...

Table of Contents:

• 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.