Analysis of Categorical Data with R (Chapman & Hall/CRC Texts in Statistical Science) - Hardcover

Über die Autorin bzw. den Autor

Christopher R. Bilder is a Professor in the Department of Statistics at the University of Nebraska-Lincoln. Bilder has been the Principal Investigator for grants from the National Science Foundation and the National Institutes of Health involving research into categorical data analysis problems. His research has been published in a diverse set of outlets ranging from the Journal of the American Statistical Association to Chance. For his categorical data research, Bilder was awarded the Best Paper in Biometrics by an International Biometric Society Member Award and the American Statistical Association's Outstanding Statistical Application Award (twice). Bilder is a Fellow of the American Statistical Association.

For more than 20 years, Bilder has taught a course on categorical data analysis to students majoring in statistics and to students majoring in a wide variety of other fields of study. He also has been a pioneer in using technology in and outside the classroom through the use of class video capturing, course websites, distance learning, blended learning, and tablets during his career. Bilder's YouTube Channel at https://www.youtube.com/ChrisBilder hosts his videos from courses, workshops, and presentations.

Thomas M. Loughin is a Professor in the Department of Statistics and Actuarial Science at Simon Fraser University in Burnaby, BC, Canada. He was Chair of the department from 2014-2019 before coming to his senses. He previously held a faculty position at Kansas State University for 13 years. At K-State he was partly funded by the College of Agriculture to provide statistical collaboration and consulting for faculty and students there. As a result, he has been active in statistical consulting, particularly the design and analysis of experiments, for most of his career. As a consultant and a teacher, he specializes in communication with subject-matter experts and students, re-expressing complex statistical concepts into language that is easy to understand.

Tom's research interests include categorical data analysis, statistical learning techniques, particularly tree-based ensembles, and sports analytics. He is a Fellow of the American Statistical Association and an accredited professional statistician, maintaining both P.Stat. (SSC), PStat® (ASA). He has served on numerous committee positions within SSC and ASA and has held positions on the editorial boards of Biometrics, Technometrics, The American Statistician, and Developmental Medicine and Child Neurology.

Tom is an avid curler, playing in two leagues at the Cloverdale Curling Club. He is a craft beer aficionado and a member of the world's longest-running fantasy baseball league (*), the Snedecor Baseball Mail League.
(*) Claim unconfirmed but unrefuted.