I like applied work and have even done a little:
Zidek, James V., Navin, Francis, P. D. and Lockhart, R. A.
(1979). Statistics of extremes: an alternate method with application to
bridge design codes. Technometrics, 21 185--191.
This paper uses the traditional extreme value upper bound on tail
probabilities to estimate the worst loading to be expected in
the next 40 years on a bridge
(the First Narrows Bridge in Vancouver -- the Lion's Gate Bridge).
Finding downed aircraft
Guttorp, P. and Lockhart, R. A. (1988). On finding the source of a
signal--a Bayesian analysis. J. Amer. Statist. Soc., 83 322--330.
A paper on finding downed aircraft. The paper also
looks at Bayesian outlier deletion/detection. I think
this paper continues to have some value (not in finding
aircraft, I suspect) in demonstrating that it is actually
easier to model directional data with directional models
than with linear models like the Gaussian distribution
even when the directional errors are so small that
the Gaussian approximation to the von Mises distribution.
I have had two students work on this problem leading to
one publication. Chandanie Perera is currently working on
the problem of combining data at several temperatures on the
Berger, G., Kuo, J. and Lockhart, R.A. (1988). Regression and error
analysis applied to dose response curves in Thermoluminescence dating.
Nuclear Tracks Radiat. Meas, 13 177--184.
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