## Donald B. Percival

**Don Percival**
is currently an Honorary Emeritus and Affiliate Professor
in the
Department of Statistics,
University of Washington,
Seattle,
Washington.
Prior to his retirement in 2018,
he was a Senior Principal Mathematician at the
Applied Physics Laboratory,
a Professor in the Department of Statistics,
a member of the Faculty of the
Quantitative Ecology and Resource Management
(QERM) Interdisciplinary Graduate Program
and one of the founding members of the
National Research Center
for Statistics and the Environment.
He received a B.A. from the
University of Pennsylvania
(1968; astronomy);
an M.A. from
George Washington University
(1975, mathematical statistics);
and a doctorate from the University of Washington (1983, statistics),
where he was the first Ph.D. student to graduate from the
Department of Statistics.
From 1968 to 1978 he was an Astronomer with
the Time Service Department
of the
U.S. Naval Observatory
in Washington, D.C.,
where he worked on the generation of atomic clock time scales
and on the analysis of the frequency stability
of high-performance oscillators.
Dr. Percival's research interests include spectral analysis, wavelets
and use of statistical methodology in the physical sciences.
He is the co-author
(with Andrew Walden)
of the textbooks
*
Spectral Analysis for Physical Applications:
Multitaper and Conventional Univariate Techniques* (1993),
*
Wavelet Methods for Time Series Analysis* (2000)
and
*
Spectral Analysis for Univariate Time Series Analysis* (2020),
all three published by
Cambridge University Press,
Cambridge, England.