معرفی
Ronald H. Randles is a Professor in the Department of Statistics at the University of Florida, where he has maintained an active teaching and research profile. He previously served as Chair of the Department of Statistics from 1989 to 2000 and continues to teach specialized courses including STA 4183 (Actuarial Science) as recently as Fall 2016.
Dr. Randles earned his academic credentials with a B.A. in Mathematics from the College of Wooster (1964), followed by an M.S. (1966) and Ph.D. (1969) in Statistics from Florida State University.
His research program centers on nonparametric statistical methods and large sample distribution theory, with particular expertise in multivariate nonparametric testing, rank-based procedures, and distribution-free methodologies. His work bridges theoretical statistical development with practical applications in multivariate analysis.
Analysis of his publication record reveals a consistent focus on advancing nonparametric techniques for multivariate data, with significant contributions to signed rank tests, statistical independence testing, and affine equivariant methods. His research demonstrates both theoretical rigor and practical applicability across various statistical domains.
Among his distinguished professional recognitions:
- Fellow of the American Statistical Association
- Fellow of the Institute of Mathematical Statistics
- Elected Member of the International Statistical Institute
- College Award for Excellence in Undergraduate Instruction
- Paul Minton Award from the Southern Regional Council on Statistics
Dr. Randles has demonstrated substantial service to the statistical profession, having served as Vice President of the American Statistical Association (1993-95) and twice as Chair of the Nonparametric Statistics Section (2000, 2008). His teaching responsibilities include specialized actuarial science coursework, reflecting the applied nature of his statistical expertise.
He maintains an active presence in the department with regular office hours in Griffin-Floyd Hall and continues to contribute to both undergraduate instruction and the broader statistical research community.
