Biased Sampling, Over-identified Parameter Problems and Beyond

1. Examples and Basic Theories for Length Biased Sampling Problems
Jing Qin

2. Brief Introduction of Renewal Process
Jing Qin

3. Heuristical Introduction of General Biased Sampling with Various Applications
Jing Qin

4. Brief Review of Parametric Likelihood Inferences
Jing Qin

5. Optimal Estimating Function Theory
Jing Qin

6. Projection Methods in General Semiparametric Models
Jing Qin

7. Generalized Method of Moments
Jing Qin

8. Empirical Likelihood with Applications
Jing Qin

9. Kullback–Leibler Likelihood and Entropy Family
Jing Qin

10. General Theory on Biased Sampling Problems
Jing Qin

11. General Theory for Case-Control Studies
Jing Qin

12. Conditioning Approach for Discrete Outcome Problems
Jing Qin

13. Discrete Data Models
Jing Qin

14. Gene and Environment Independence and Secondary Outcome Analysis in Case-Control Study
Jing Qin

15. Outcome Dependent Sampling and Maximum Rank Estimation
Jing Qin

16. Noncentral Hypergeometric Distribution and Poisson Binomial Distribution
Jing Qin

17. Inferences and Tests in Semiparametric Finite Mixture Models
Jing Qin

18. Connections Among Marginal Likelihood, Conditional Likelihood and Empirical Likelihood
Jing Qin

19. Causal Inference and Missing Data Problems
Jing Qin

20. Inference in Finite Populations
Jing Qin

21. Inference for Density Ratio Model with Continuous Covariates
Jing Qin

22. Non-ignorable Missing Data Problems
Jing Qin

23. Maximum Likelihood Estimation in Capture-Recapture Models
Jing Qin

24. A Review of Survival Analysis
Jing Qin

25. Length Biased Sampling, Multiplicative Censoring and Survival Analysis
Jing Qin

26. Applications of the Pool Adjacent Violation Algorithm (PAVA) in Statistical Inferences
Jing Qin

Avainsanat: Statistics, Statistics for Business/Economics/Mathematical Finance/Insurance, Applications of Mathematics, Economic Theory/Quantitative Economics/Mathematical Methods