Recent Advances on Sampling Methods and Educational Statistics (eBook)

In Honor of S. Lynne Stokes

Hon Keung Tony Ng, Daniel F. Heitjan (Herausgeber)

eBook Download: PDF

2022 | 1. Auflage
XXVI, 278 Seiten
Springer-Verlag
978-3-031-14525-4 (ISBN)

Infos

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.

Hon Keung Tony Ng is a Professor with the Department of Mathematical Sciences, Bentley University, Waltham, MA, USA. Before joining Bentley University in July 2022, he was at Southern Methodist University for 20 years (2002-2022). He received the Ph.D. degree in mathematics from McMaster University, Hamilton, ON, Canada, in 2002. He is an associate editor of Communications in Statistics, Computational Statistics, IEEE Transactions on Reliability, Journal of Statistical Computation and Simulation, Naval Research Logistics, Sequential Analysis, and Statistics and Probability Letters. His research interests include reliability, censoring methodology, ordered data analysis, non-parametric methods, and statistical inference. He has published more than 150 research papers in refereed journals. He is the co-author of the book Precedence-Type Tests and Applications and co-editor of Ordered Data Analysis, Modeling and Health Research Methods; Statistical Modeling for Degradation Data; Statistical Quality Technologies: Theory and Practice; and Bayesian Inference and Computation in Reliability and Survival Analysis. Professor Ng is an elected senior member of IEEE (2008), an elected member of the International Statistical Institute (2008), and an elected fellow of the American Statistical Association (2016).

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.

Produkt-Details

• Erscheint lt. Verlag: 25.11.2022
• Reihe/Serie: Emerging Topics in Statistics and Biostatistics
• Zusatzinfo: XXVI, 278 p. 45 illus., 34 illus. in color.
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Psychologie ► Test in der Psychologie
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Sozialwissenschaften ► Pädagogik
• Schlagworte: behavioral statistics • capture-recapture methods • Educational Statistics • non-sampling errors in surveys • ranked-set sampling • Statistics in social sciences
• ISBN-10: 3-031-14525-9 / 3031145259
• ISBN-13: 978-3-031-14525-4 / 9783031145254