Leonard A. Stefanski

Professor
Department of Statistics,
North Carolina State University,
Raleigh, NC, 27695-8203.

stefansk@stat.ncsu.edu
Tel: (919) 515-1945
Fax: (919) 515-1169

Education:

Ph.D. Statistics, 1984, University of North Carolina, Chapel Hill, NC.
M.S. Statistics, 1983, University of North Carolina, Chapel Hill, NC.
B.S. Mathematics, 1979, University of Connecticut, Storrs, CT.
H.S.D., 1971, Waterford High School, Waterford, CT.
J.H.S.D., 1967, Clark Lane Junior High School, Waterford, CT.

Current Research Interests:

Variable selection.
Measurement error models.
Generalized linear models.
Environmental statistics.
Trout distributions.

Residual Plots as described in The American Statistician

Believe it or Not! You are looking at plots of residuals versus predicted values from the fit of multiple linear regression models to three different data sets. Curious? Then click on an image and see how it's done (alas, these are not naturally occurring 1-in-a-trillion-trillion-trillion chance random scatter plots).

NSF Acknowledgement. No less surprising than these residual plots is the fact that the National Science Foundation contributed to the funding of this research!

Homer Simpson. Mathematics is no stranger to the Simpsons, see simpsonsmath.com, but this may be the first time that Homer has dabbled in statistics. It appears that he has embedded himself into an infinite do loop! The image above is a spoof of a scene from a Simpson's episode in which Homer tackles a difficult mathematical derivation.

Ronald Aylmer Fisher (1890-1962). This is an embedded-image version of a well-known image of Fisher operating a calculating machine. You can find the original at several places on the web, see here for example.

Measurement Error Book 2nd Edition

The shadow images you see around this text are large trout in about six feet of water.

The material on this web page is based upon work supported by the National Science Foundation under Grant No. 0504283. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.

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