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In Honor of S. Lynne Stokes
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This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statistical scientists who work at the cutting edge in statistical sampling.
S. Lynne Stokes is Professor of Statistical Science and Director of the Data Science Institute at Southern Methodist University, and Senior Fellow at the National Institute of Statistical Sciences. She has enjoyed a distinguished research career, making fundamental contributions to a variety of fields in statistical sampling. Reflecting on Professor Stokes' main areas of research, this volume is structured into three main parts:
I. ranked-set sampling, judgment post-stratified sampling, and capture-recapture methods
II. nonsampling errors in statistical sampling
III. educational and behavioral statistics.
This collection will be of interest to researchers, advanced students, and professionals in the public and private sectors who would like to learn more about latest advancements in statistical sampling, particularly those who work in educational and behavioral statistics.
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Daniel F. Heitjan is Professor and Chair of Statistical Science at SMU and Professor of Population & Data Sciences at UT Southwestern Medical Center. A native of Detroit, he earned a BSc in Mathematics (1981), an MSc in Statistics (1984), and a PhD in Statistics (1985) from the University of Chicago. He served on the faculties of UCLA (1985–1988), Penn State (1988–1995), Columbia University (1995–2002), and the University of Pennsylvania (2002–2014) before moving to Texas in 2014. Dr. Heitjan has over 200 publications in the literature of medicine and statistics, and is an elected Fellow of the American Statistical Association (1997), the Institute of Mathematical Statistics (2012), and the Society for Clinical Trials (2017). He has served as Program Chair of the Joint Statistical Meetings (2005), Chair of the American Statistical Association’s Biometrics Section (2009), and President of the Eastern North American Region of the International Biometric Society (2013). His research interests include causal modeling, the theory of inference with incomplete data, and methods in clinical biostatistics.
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