03793nam a22005415i 4500 978-981-10-4856-2 DE-He213 20210618095958.0 cr nn 008mamaa 170615s2017 si | s |||| 0|eng d 9789811048562 978-981-10-4856-2 10.1007/978-981-10-4856-2 doi QA276-280 PBT bicssc BUS061000 bisacsh PBT thema K thema 330.015195 23 Qin, Jing. author. aut http://id.loc.gov/vocabulary/relators/aut Biased Sampling, Over-identified Parameter Problems and Beyond [electronic resource] / by Jing Qin. 1st ed. 2017. Singapore : Springer Singapore : Imprint: Springer, 2017. XVI, 624 p. 5 illus., 1 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda ICSA Book Series in Statistics, 2199-0980 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. 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 Economics. The book addresses a range of important topics, including case and control studies, causal inference, missing data problems, meta-analysis, renewal process and length biased sampling problems, capture and recapture problems, case cohort studies, exponential tilting genetic mixture models etc. The goal of this book is to make it easier for Ph. D students and new researchers to get started in this research area. It will be of interest to all those who work in the health, biological, social and physical sciences, as well as those who are interested in survey methodology and other areas of statistical science, among others. . Statistics . Applied mathematics. Engineering mathematics. Economic theory. Statistics for Business, Management, Economics, Finance, Insurance. https://scigraph.springernature.com/ontologies/product-market-codes/S17010 Applications of Mathematics. https://scigraph.springernature.com/ontologies/product-market-codes/M13003 Economic Theory/Quantitative Economics/Mathematical Methods. https://scigraph.springernature.com/ontologies/product-market-codes/W29000 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789811048548 Printed edition: 9789811048555 Printed edition: 9789811352492 ICSA Book Series in Statistics, 2199-0980 https://doi.org/10.1007/978-981-10-4856-2 ZDB-2-SMA ZDB-2-SXMS Mathematics and Statistics (SpringerNature-11649) Mathematics and Statistics (R0) (SpringerNature-43713)