A Conversation with Shayle R. Searle

Born in New Zealand, Shayle Robert Searle earned a bachelor's degree (1949) and a master's degree (1950) from Victoria University, Wellington, New Zealand. After working for an actuary, Searle went to Cambridge University where he earned a Diploma in mathematical statistics in 1953. Searle won a Fulbright travel award to Cornell University, where he earned a doctorate in animal breeding, with a strong minor in statistics in 1959, studying under Professor Charles Henderson. In 1962, Cornell invited Searle to work in the university's computing center, and he soon joined the faculty as an assistant professor of biological statistics. He was promoted to associate professor in 1965, and became a professor of biological statistics in 1970. Searle has also been a visiting professor at Texas A&M University, Florida State University, Universit\"{a}t Augsburg and the University of Auckland. He has published several statistics textbooks and has authored more than 165 papers. Searle is a Fellow of the American Statistical Association, the Royal Statistical Society, and he is an elected member of the International Statistical Institute. He also has received the prestigious Alexander von Humboldt U.S. Senior Scientist Award, is an Honorary Fellow of the Royal Society of New Zealand and was recently awarded the D.Sc. Honoris Causa by his alma mater, Victoria University of Wellington, New Zealand.

[1]  R. G. Petersen.  Matrix algebra for the biological sciences , 1966 .

[2]  Karl J. Friston,et al.  Variance Components , 2003 .

[3]  Y. Takane,et al.  Generalized Inverse Matrices , 2011 .

[4]  H. Hartley,et al.  Maximum-likelihood estimation for the mixed analysis of variance model. , 1967, Biometrika.

[5]  S. R. Searle.  Sampling Variances of Estimates of Components of Variance , 1958 .

[6]  D. Sengupta.  Linear models , 2003 .

[7]  S. R. Searle.  Variance Components in the Unbalanced 2-Way Nested Classification , 1961 .

[8]  N. Draper,et al.  Applied Regression Analysis , 1966 .

[9]  Harold Cohen,et al.  DETERMINANTS AND MATRICES , 2019, Essentials of Mathematical Methods in Science and Engineering.

[10]  Mark Von Tress,et al.  Generalized, Linear, and Mixed Models , 2003, Technometrics.

[11]  Frederick E. Smith,et al.  Matrix Algebra for the Biological Sciences , 1966 .

[12]  C. Radhakrishna Rao,et al.  A Note on a Generalized Inverse of a Matrix with Applications to Problems in Mathematical Statistics , 1962 .

[13]  F. Graybill.  An introduction to linear statistical models , 1961 .

[14]  S. Wicksell.  Remarks on Regression , 1930 .

[15]  S. Lewis,et al.  Regression analysis , 2007, Practical Neurology.

[16]  Ou Ziqiang,et al.  Estimation of variance and covariance components , 1989 .

[17]  Abel M. Rodrigues.  Matrix Algebra Useful for Statistics , 2007 .

[18]  Matrix algebra for business and economics , 1970 .

[19]  S. R. Searle,et al.  The estimation of environmental and genetic trends from records subject to culling. , 1959 .

[20]  S. R. Searle,et al.  Comparative studies of meat V. Factors affecting the iodine number of the fat from the fatty and muscular tissues of cattle , 1956, The Journal of Agricultural Science.