The Technometrics Book Reviews Editor, S. Ejaz Ahmed is pleased to announce that the 2022 Ziegel Prize winner is Advanced Statistics with Applications in R by Eugene Demidenko.
Editor Ejaz Ahmed presented the Award to Eugene Demidenko during the Technometrics Annual Dinner on Monday August 8, 2022, Joint Statistical Meetings, Washington, DC
Eugene Demidenko is Professor at Dartmouth College, New Hampshire, USA. He holds Adjunct appointments at Thayer School of Engineering and Mathematics Department where he teaches statistics to undergraduates since 2000. He also teaches data science and statistics to graduate and Ph.D. students at Quantitative Biomedical Sciences Master Program, Geisel School of Medicine. Dr. Demidenko is a Soviet-era mathematician. He defended his Ph.D. degree thesis in statistics and computer science at Central Economics & Mathematics Institute of the Academy of Sciences, Moscow, USSR. He is proud that two prominent statisticians, Sergey Aivazian (the father of Applied Statistics in Russia; see the Special Issue of Model Assisted Statistics and Applications 15 (4), 2020) and Valerii Fedorov (design of experiments) were the members of the Ph.D. thesis committee.
He is the Principal Investigator of several statistics-driven NIH grants on the application of advanced statistical and machine learning techniques to solving ill-conditioned inverse problems including Laplace partial differential equation for Electrical Impedance Tomography and classification of bladder cancer cells using cell surface images using Atomic Force Microscopy.
Professor Demidenko is the author of a popular book Mixed Models: Theory and Applications with R published by Wiley in 2013 (1600 citations according to Google Scholar), and the paper “The p-Value You Can’t Buy” published in The American Statistician (2016) with 14K views. He has published more than 150 papers in peer-reviewed journals.
Dr. Demidenko is among world’s top 2% scientists across all fields according to a recently compiled database by Stanford University. He has made substantial contributions to science and statistics. Specifically, he developed: (a) sufficient criteria for existence and uniqueness of least squares in nonlinear regression, (b) mathematical theory of tumor response to treatment via regrowth curve analysis, (c) closed-form solution to a mixed boundary value problem for Laplace equation on the disk and its connection to Magic Toeplitz Matrix and Generalized Ohm’s law, (d) statistical analysis of ensemble of shapes and images, (e) statistical estimation of drug synergy.
He is proud that by his recommendation his best students went to the most prestigious schools: Harvard, MIT, Stanford, Princeton, Oxford, and Cambridge University to continue their statistics and data science education. He is a dedicated statistics teacher and promoter: the first statistics class starts with the motto: “Mathematics is the Queen and Statistics is the King of All Sciences.”
The goal of Advanced Statistics is to fill the gap between several excellent theoretical statistics textbooks and tons of recipe-style applied statistics books (www.eugened.org). This book contains more than 400 examples following the principle: “examples are the expressway to knowledge.”
Please join us in congratulating the author for achieving this honor and for a job well done! This prize was instituted in honor of Eric Ziegel and his long and unselfish service to the profession as Book Review Editor of Technometrics (1986–2006). A Ziegel Prize certificate has been given annually since 2007.
The Technometrics Book Review Editor selects a book for the award from among those new books with reviews appearing in a calendar year. If the Book Review Editor does not have a suitable nomination, no Ziegel Prize will be given that year. The criteria for the award are as follows:
The book will be a first edition.
The book will not be a “how-to” manual or a software guide.
The subject of the book will be statistical methodology that has been clearly demonstrated to be applicable to the Technometrics mission.
The technical level and originality of the book will be consistent with those of papers published in the journal.
Ideally, the book will be one that brings together in one volume a body of material previously only available in scattered research articles and having the potential to significantly improve practice in engineering and science.