Overview
- Honors the contributions of Professor S. Lynne Stokes to theoretical and applied statistics
- Explores novel sampling methods and recent developments in statistical sampling
- Examines ranked-set sampling, judgment post-stratified sampling, and capture-recapture methods
Part of the book series: Emerging Topics in Statistics and Biostatistics (ETSB)
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Table of contents (13 chapters)
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Front Matter
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Ranked-Set Sampling, Judgement Post-stratified Sampling, and Capture-Recapture Methods
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Front Matter
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Nonsampling Errors in Statistical Sampling
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Front Matter
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Educational and Behavioral Statistics
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Recent Advances on Sampling Methods and Educational Statistics
Book Subtitle: In Honor of S. Lynne Stokes
Editors: Hon Keung Tony Ng, Daniel F. Heitjan
Series Title: Emerging Topics in Statistics and Biostatistics
DOI: https://doi.org/10.1007/978-3-031-14525-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-14524-7Published: 26 November 2022
Softcover ISBN: 978-3-031-14527-8Published: 26 November 2023
eBook ISBN: 978-3-031-14525-4Published: 25 November 2022
Series ISSN: 2524-7735
Series E-ISSN: 2524-7743
Edition Number: 1
Number of Pages: XXVI, 278
Number of Illustrations: 11 b/w illustrations, 34 illustrations in colour
Topics: Applied Statistics, Psychometrics, Statistical Theory and Methods, Education, general