Paul P. Biemer

Über den Autor

Paul P. Biemer is a prominent figure in the field of survey methodology and statistics, known for his contributions to the understanding of survey quality and data analysis. His work bridges the gap between traditional survey techniques and modern data science, particularly through his exploration of big data and its implications for survey research. Biemer has authored and edited several influential books, including "Big Data Meets Survey Science: A Collection of Innovative Methods" and "Latent Class Analysis of Survey Error," which have been invaluable resources for researchers and practitioners alike.