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.[1] 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.[2]

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

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

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

2000s
1990s
1980s
  • Searle, S. R. (1989). "Obituary: Charles Roy Henderson 1911–1989". Biometrics. 45 (4): 1333–1335. JSTOR 2531789.
  • Searle, SR (1989). "Obituary: Charles Roy Henderson, 1911–1989". Bulletin of the Institute of Mathematical Statistics. 18: 338.
  • Searle, S. R. (1989). "The Equality of the Ordinary Least Squares Estimator and the Best Linear Unbiased Estimator: Comment". The American Statistician. 43 (3): 162–163. doi:10.2307/2685064. JSTOR 2685064.
  • Searle, S. R. (1988). "Annotated Computer Output, Second Edition: ACO2". The American Statistician. 42 (4): 272. doi:10.2307/2685138. JSTOR 2685138.
  • Searle, S. R. (1988). "Mixed models and unbalanced data: Wherefrom, whereat and whereto?". Communications in Statistics - Theory and Methods. 17 (4): 935–968. doi:10.1080/03610928808829667. hdl:1813/33040.
  • Searle, S. R. (1988). "Parallel Lines in Residual Plots". The American Statistician. 42 (3): 211. doi:10.2307/2685008. hdl:1813/33060. JSTOR 2685008.
  • Searle, SR (1988). "Best linear unbiased estimation in mixed models of the analysis of variance". In J. Srivastava (ed.). Probability and Statistics Essays in Honor of Franklin A. Graybill. Amsterdam: North-Holland.
  • Mcculloch, C.E.; Schwager, S.J.; Casella, G.; Searle, SR, eds. (1986). Statistical Design: Theory and Practice: Proc. of a Conference in Honor of Walter T. Federer. Ithaca, NY: Cornell University.
  • Searle, S. R.; Pukelsheim, F. (1986). "Effects of Intraclass Correlation on Weighted Averages". The American Statistician. 40 (2): 103–105. doi:10.2307/2684865. hdl:1813/32989. JSTOR 2684865.
  • Searle, S. R.; Pukelsheim, F. (1985). "Establishing χ2 Properties of Sums of Squares Using Induction". The American Statistician. 39 (4): 301–303. doi:10.2307/2683710. JSTOR 2683710.
  • Anderson, R. D., Henderson, HV, Pukelsheim, F., Searle, SR (1984). "Best estimation of variance components from balanced data, with arbitrary kurtosis". Mathematische Operationsforschung und Statistik, Series Statistics. 15 (2): 163–176. doi:10.1080/02331888408801755. hdl:1813/32795.CS1 maint: multiple names: authors list (link)
  • Manfredi, E. J.; Everett, R. W.; Searle, S. R. (1984). "Phenotypic and Genetic Statistics of Components of Milk and Two Measures of Somatic Cell Concentration". Journal of Dairy Science. 67 (9): 2028–2033. doi:10.3168/jds.S0022-0302(84)81539-8. PMID 6541666.
  • Searle, S. R. (1984). "Restrictions and Generalized Inverses in Linear Models". The American Statistician. 38 (1): 53–54. doi:10.2307/2683560. hdl:1813/32898. JSTOR 2683560.
  • Searle, S. R.; Swallow, W. H.; McCulloch, C. E. (1984). "Nontestable Hypotheses in Linear Models". SIAM Journal on Algebraic and Discrete Methods. 5 (4): 486–496. doi:10.1137/0605047. hdl:1813/32926.
  • Searle, S. R.; Henderson, H. V. (1983). "Faults in a computing algorithm for reparameterizing linear models". Communications in Statistics - Simulation and Computation. 12: 67–76. doi:10.1080/03610918308812300.
  • Searle, S. R.; Hudson, G. F. S.; Federer, W. T. (1983). "Annotated Computer Output for Analysis of Covariance". The American Statistician. 37 (2): 172–173. doi:10.2307/2685886. JSTOR 2685886.
  • Searle, S. R. (1983). "The Recurrence Formulae for Means and Variances". Teaching Statistics. 5: 7–10. doi:10.1111/j.1467-9639.1983.tb00481.x. hdl:1813/32866.
  • Searle, S. R.; Hudson, G. F. S. (1982). "Some Distinctive Features of Output from Statistical Computing Packages for Analysis of Covariance". Biometrics. 38 (3): 737–745. doi:10.2307/2530053. hdl:1813/32863. JSTOR 2530053.
  • Henderson, H. V.; Searle, S. R. (1981). "On Deriving the Inverse of a Sum of Matrices". SIAM Review. 23 (1): 53–60. doi:10.1137/1023004. hdl:1813/32750.
  • Henderson, H. V.; Searle, S. R. (1981). "The vec-permutation matrix, the vec operator and Kronecker products: A review". Linear and Multilinear Algebra. 9 (4): 271. doi:10.1080/03081088108817379. hdl:1813/32747.
  • Searle, S. R. (1981). "Annotated Computer Output for Variance Components". The American Statistician. 35 (2): 111–112. doi:10.2307/2683158. JSTOR 2683158.
  • Searle, S. R.; Speed, F. M.; Henderson, H. V. (1981). "Some Computational and Model Equivalences in Analyses of Variance of Unequal-Subclass-Numbers Data". The American Statistician. 35 (1): 16–33. doi:10.2307/2683578. hdl:1813/32769. JSTOR 2683578.
  • Searle, SR (1981). "Quirks in linear model calculations with unbalanced data" (PDF). Proceedings of the Sixth Annual SAS Users Group International Conference: 38–45.
  • Searle, S. R. (1980). "Arbitrary hypotheses in linear mod fi.S with unbalanced data". Communications in Statistics - Theory and Methods. 9 (2): 181–200. doi:10.1080/03610928008827870.
  • Searle, S. R.; Firey, P. A. (1980). "Computer Generation of Data Sets for Homework Exercises in Simple Regression". The American Statistician. 34 (1): 51–54. doi:10.2307/2682999. hdl:1813/32759. JSTOR 2682999.
  • Searle, S. R.; Speed, F. M.; Milliken, G. A. (1980). "Population Marginal Means in the Linear Model: An Alternative to Least Squares Means". The American Statistician. 34 (4): 216–221. doi:10.2307/2684063. JSTOR 2684063.
1970s
  • Henderson, H. V.; Searle, S. R. (1979). "Vec and Vech Operators for Matrices, with Some Uses in Jacobians and Multivariate Statistics". The Canadian Journal of Statistics. 7 (1): 65–81. doi:10.2307/3315017. JSTOR 3315017.
  • Searle, S. R. (1979). "Alternative covariance models for the 2-way crossed classification". Communications in Statistics - Theory and Methods. 8 (8): 799–818. doi:10.1080/03610927908827800.
  • Searle, S. R. (1979). "Annotated Computer Output for Analysis of Variance of Unequal-Subclass- Numbers Data". The American Statistician. 33 (4): 222–223. doi:10.2307/2683742. JSTOR 2683742.
  • Searle, SR (1979). "Discussion of H. Ahrens' An invariance property for first and second order moments of estimated variance-covariance components (19th Session on Stochastics)". Biometrical Journal [Continues: iometrische Zeitschrift. Zeitschrift für mathematische Methoden in den Biowissenschaften]. 21: 389–398.
  • Searle, S. R.; Henderson, H. V. (1979). "Dispersion Matrices for Variance Components Models". Journal of the American Statistical Association. 74 (366): 465–470. doi:10.2307/2286357. JSTOR 2286357.
  • Swallow, W. H.; Searle, S. R. (1978). "Minimum Variance Quadratic Unbiased Estimation (MIVQUE) of Variance Components". Technometrics. 20 (3): 265–272. doi:10.2307/1268135. JSTOR 1268135.
  • Searle, S. R. (1977). "Proof". International Journal of Mathematical Education in Science and Technology. 8 (2): 185–192. doi:10.1080/0020739770080207.
  • Corbeil, R. R.; Searle, S. R. (1976). "A Comparison of Variance Component Estimators". Biometrics. 32 (4): 779–791. doi:10.2307/2529264. hdl:1813/32662. JSTOR 2529264.
  • Corbeil, R. R.; Searle, S. R. (1976). "Restricted Maximum Likelihood (REML) Estimation of Variance Components in the Mixed Model". Technometrics. 18 (1): 31–38. doi:10.2307/1267913. JSTOR 1267913.
  • Henderson, C. R.; Searle, S. R.; Schaeffer, L. R. (1974). "The Invariance and Calculation of Method 2 for Estimating Variance Components". Biometrics. 30 (4): 583–588. doi:10.2307/2529223. JSTOR 2529223.
  • Searle, S. R.; Rounsaville, T. R. (1974). "A Note on Estimating Covariance Components". The American Statistician. 28 (2): 67–68. doi:10.2307/2683606. JSTOR 2683606.
  • Searle, S. R. (1973). "On Publishing Extended Abstracts, and Reviews". The American Statistician. 27 (4): 155–157. doi:10.2307/2684045. JSTOR 2684045.
  • Rudan, J. W.; Searle, S. R. (1971). "323. Note: Large Sample Variances of Maximum Likelihood Estimators of Variance Components in the 3-Way Nested Classification, Random Model, with Unbalanced Data". Biometrics. 27 (4): 1087–1091. doi:10.2307/2528844. JSTOR 2528844.
  • Searle, S. R. (1971). "A Biometrics Invited Paper. Topics in Variance Component Estimation". Biometrics. 27 (1): 1–76. doi:10.2307/2528928. JSTOR 2528928.
  • Townsend, E. C.; Searle, S. R. (1971). "Best Quadratic Unbiased Estimation of Variance Components from Unbalanced Data in the 1-Way Classification". Biometrics. 27 (3): 643–657. doi:10.2307/2528602. hdl:1813/32414. JSTOR 2528602.
  • Searle, S. R. (1970). "Large Sample Variances of Maximum Likelihood Estimators of Variance Components Using Unbalanced Data". Biometrics. 26 (3): 505–524. doi:10.2307/2529105. JSTOR 2529105.
  • Searle, S. R.; Fawcett, R. F. (1970). "Expected Mean Squares in Variance Components Models Having Finite Populations". Biometrics. 26 (2): 243–254. doi:10.2307/2529072. JSTOR 2529072.
1960s
1950s
gollark: And it's a single HTML file.
gollark: TiddlyWiki is quite unique because much of the UI is editable from within TiddlyWiki in somewhat weird ways.
gollark: If you do want to do this sort of thing I would probably recommend python, because I arbitrarily like it.
gollark: https://www.dokuwiki.org/dokuwiki is what I use now, it's a selfhosted open source wiki with decent plugin support.
gollark: https://tiddlywiki.com/ is neat, https://github.com/athensresearch/athens/ could be good but is very experimental, https://obsidian.md/ is not open source but apparently runs on a directory of local markdown files so you don't have lockin issues, https://github.com/logseq/logseq apparently exists but I've never used it and it has a closed source backend, https://foambubble.github.io/foam/ is nice if you like VSCode.

References

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