- Source: Shayle R. Searle
Shayle Robert Searle PhD (26 April 1928 – 18 February 2013) was a New Zealand mathematician who was professor emeritus of biological statistics at Cornell University. He was a leader in the field of linear and mixed models in statistics, and published widely on the topics of linear models, mixed models, and variance component estimation.
Searle was one of the first statisticians to use matrix algebra in statistical methodology, and was an early proponent of the use of applied statistical techniques in animal breeding.
He died at his home in Ithaca, New York.
Education
BA – Victoria University of Wellington – 1949
MSc – Victoria University of Wellington – 1950
PhD – Cornell University – 1958
DSc (h.c.) – Victoria University of Wellington – 2005
Employment
Research statistician – New Zealand Dairy Board – 1953 to 1955, 1959 to 1962
Statistician – University Computing Center, Cornell University – 1962 to 1965
Professor of biological statistics – Cornell University – 1965 to 1996
Honours
Winner, Humboldt Research Award of the Alexander von Humboldt Foundation
Fellow, American Statistical Association
Fellow, Royal Statistical Society
Honorary Fellow, Royal Society of New Zealand
Bibliography
= Books
=Shayle R. Searle (2009). The Collected Works of Shayle R. Searle. New York: Wiley. ISBN 978-0-470-55606-1.
Neuhaus, John William; McCulloch, Charles E.; Shayle R. Searle (2008). Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics) (2nd ed.). New York: Wiley-Interscience. ISBN 978-0-470-07371-1.
Shayle R. Searle (2006). Linear Models for Unbalanced Data (Wiley Series in Probability and Statistics). New York: Wiley-Interscience. ISBN 0-470-04004-1.
McCulloch, Charles E.; Shayle R. Searle; Casella, George (2006). Variance Components (Wiley Series in Probability and Statistics). New York: Wiley-Interscience. ISBN 0-470-00959-4.
Shayle R. Searle (2006). Matrix Algebra Useful for Statistics (Wiley Series in Probability and Statistics). New York: Wiley-Interscience. ISBN 0-470-00961-6.
McCulloch, Charles E.; Searle, Shayle R. (2001). Generalized, Linear, and Mixed Models (1st ed.). Chichester: John Wiley & Sons. ISBN 0-471-19364-X.
Willett, Lois Schertz; Searle, S. R. (2001). Matrix algebra for applied economics. Chichester: John Wiley & Sons. ISBN 0-471-32207-5.
Searle, S. R. (1971). Linear models. New York: Wiley. ISBN 0-471-18499-3.
Hausman, Warren H.; Searle, S. R. (1970). Matrix algebra for business and economics. New York: Wiley-Interscience. ISBN 0-471-76941-X.
Shayle R. Searle (1966). Matrix Algebra for the Biological Sciences (Series on Quantitative Methods for Biologists & Medical Scientists). John Wiley & Sons Inc. ISBN 0-471-76930-4.
= Selected journal articles
=References
Further reading
Shayle Searle (1968). "Oral and Personal Histories of Computing at Cornell". Office of Information Technologies, Cornell University.
Searle, Shayle R. (2005). "Recollections from a 50-year random walk midst matrices, statistics and computing". Research Letters in the Information and Mathematical Sciences. 8: 45–52. ISSN 1175-2777. Archived from the original on 14 October 2008.
Martin T. Wells (2009). "A Conversation with Shayle R. Searle". Statistical Science. 24 (2): 244–254. arXiv:1001.3272. doi:10.1214/08-STS259. S2CID 62162161.
Hunter, Jeffrey (2015). "Shayle R. Searle: Pioneer in Linear Modelling". Australian & New Zealand Journal of Statistics. 57: 1–14. doi:10.1111/anzs.12107.
External links
Shayle R. Searle at the Mathematics Genealogy Project
