statistics faculty at unc-ch
____________

hurd@stat.unc.edu

208 New West
919 962-2379

Suite 200 University Square
919 962-0123

Fax: 919 962-1279

        Harry L. Hurd
          Adjunct Professor

        Education

          B.S. (1963), M.S. (1964), University of Kentucky; Ph.D. (1970), Duke University

        Positions

          Bell Telephone Laboratories (1964-76); Xybion Corporation (1976-83); Harry L. Hurd Associates (1983-); UNC-Chapel Hill (1994- ).

        Research Interests

          Hurd's primary interest is nonstationary random processes with emphasis on the periodically and almost periodically correlated processes. Periodically correlated processes are also called cyclostationary. Processes with this structure typically appear whenever systems that would otherwise generate stationary random processes are perturbed periodically with respect to time. Natural examples occur in meteorology, physiology, astronomy, mechanical systems, and in many animal sounds including voiced human speech. An Introduction to Periodically Correlated (Cyclostationary) Sequences gives a more precise definition of these processes, along with some simple mathematical models for generating them. Also included are some real world examples, some results of simultaions and a brief historical review.

          His theoretical interests include Fourier theory of correlation; the role of unitary operators and process representation; harmonizable processes; nonstationary random fields; prediction theory; generalized harmonic analysis; periodically perturbed dynamical systems.

          Hurd's application-oriented interests are primarily focused on issues of time-series analysis for the aforementioned nonstationary process. These include estimation of the family of coefficient functions describing the correlation; estimation of the corresponding spectral densities; testing a time series for the presence of periodic correlation; statistical inference in the presence of nonstationary measurement errors; modeling by parametric systems (such as ARMA) with periodically time-varying coefficients.

        Publications

        Teaching:

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