Biased Sampling, Over-identified Parameter Problems and Beyond

Explore the intricate world of statistical analysis with Biased Sampling, Over-identified Parameter Problems and Beyond by Jing Qin. Published by Springer Verlag in 2018, this comprehensive volume spans 624 pages and offers an in-depth examination of biased sampling issues, commonly referred to as choice-based sampling in econometrics. The book addresses the complexities of over-identified parameter estimation, making it an essential resource for researchers and practitioners in the field. This softcover reprint of the original first edition from 2017 is designed to provide clarity and insight into advanced statistical methodologies. Whether you are a seasoned statistician or a student looking to deepen your understanding, this book is a valuable addition to your library. Delve into the nuances of statistical sampling and enhance your analytical skills with this authoritative guide.