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Probability, Statistics, Extreme Value Theory. Applications in Engineering, Oceanography, Environment
B.Sc. (1953), M.Sc. (1954), University of New Zealand
B.A. (1958), M.A. (1962) University of Cambridge
Ph.D. (1963), UNC-Chapel Hill
New Zealand Applied Mathematics Laboratory, Wellington (1955-1956)
Naval Research Laboratory, Auckland (1958-1960)
Research Triangle Institute, North Carolina (1961-1966)
UNC-Chapel Hill (1966-)
Honorary Doctorate, Lund University, Sweden 1991
Honorary Doctorate, Lisbon University, Portugal 2013
Fellow, American Statistical Association (ASA)
Fellow, Institute of Mathematical Statistics (IMS)
Member, IMS Council (2 terms)
Member, International Statistical Institute (ISI)
Carver Medal, for service to IMS & Statistical Profession, 2011.
Special award “for outstanding contributions to Statistics & its development in North Carolina”, ASA (NC Chapter) 2012
“Stationary and Related Stochastic Processes” (with Harald Cramer), Wiley, N.Y, 1967.
“Extremes and Related Properties of Random Sequences and Processes” (with G. Lindgren and H. Rootzen), Springer-Verlag, N.Y., 1983.
“A Basic Course in Measure and Probability. Theory for Applications” (with Stamatis Cambanis and Vladas Pipiras), Cambridge University Press, 2014.
Limit theorems for strongly mixing stationary random measures (with T. Hsing), Stochastic Processes and their Applications, 36 (1990), 231-243.
On a basis for ‘Peaks over Threshold’ modeling, Statistics and Probability Letters, 12 (1991), 357-362.
On central limit theory for families of strongly mixing additive random functions (with H. Rootzen), in “Festschrift in Honour of G. Kallianpur” (S. Cambanis, et al.,eds), Springer-Verlag, N.Y (1993), 211-223.
Extremes and exceedance measures for continuous parameter stationary processes, in “Extreme Value Theory and Applications” (J. Galambos et al., eds.), Kluwer Academic Publishers (1994), 371-388.
On high level exceedance modeling and tail inference, Journal of Statistical Planning and Inference (1995),45, 247-260.
Estimating capsize risk for a vessel in a following sea. (with I Rychlik) Bull. Int. Stat. Ins., 2009
Estimating dynamic stability event probabilities from simulation & wave modeling methods. (with I Rychlik & K. Stambaugh) Proc.12 Int. Ship Stability Workshop, 147-161, 2011
Probability and statistics, stochastic processes, extremal theory, statistical communication theory; engineering, oceanographic, and environmental applications.