SearleBiblio.pdf
© 2007, Timothy G. Gregoire, Yale University
Last revised: March 2007
SEARLE BIBLIOGRAPHY
1963-Present (??? entries)
1. Notes on Generalized Inverses.
2. Notes on Distribution of Quadratic Functions.
3. Notes on Regression.
4. Notes on Rank Deficient Models.
5. Notes on Estimable Functions.
6. Notes on Covariance.
7. Notes on Variance Components Estimation (Balanced).
8. Notes on Variance Components Estimation (Unbalanced).
9. Federer, W.T. & Henderson, C.R. (1963). Some aspects of general and specific
combining ability (Biometrics Unit Paper No. BU-82, Department of Plant Breeding
No. 432). Ithaca, NY: Cornell University.
10. Searle, S.R. (1963). Genetic studies of dairy production early in lactation. Journal of
Dairy Science 46: 1266–1272.
11. Searle, S.R. (1964a). A review of sire-proving methods in New Zealand, Great Britain
and New York State. Journal of Dairy Science 47: 402–412.
12. Searle, S.R. (1964b). Progeny–tests of sire and son. Journal of Dairy Science 47: 414–
420.
13. Searle, S.R. (1965a). Computing formulae for analyzing augmented randomized complete
block designs (Biometrics Unit Paper No. BU-207-M). Ithaca, NY: Cornell University.
14. Searle, S.R. (1965b). Notes on probit analysis (Biometrics Unit Paper No. BU-202-M).
Ithaca, NY: Cornell University.
15. Searle, S.R. (1965c). Tests of linear hypotheses using a generalized inverse matrix
(Biometrics Unit Paper No. BU-199-M). Ithaca, NY: Cornell University.
16. Searle, S.R. (1966a). Equations in sums of powers (Biometrics Unit Paper No. BU-226M). Ithaca, NY: Cornell University.
SearleBiblio.doc
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17. Searle, S.R. (1966b). Properties of certain discrete distributions suitable for generating
approximately normal variables (Biometrics Unit Paper No. BU-228-M). Ithaca, NY:
Cornell University.
18. Searle, S.R. (1966c). Testing the efficacy of a table look-up generator of normal variables
(Biometrics Unit Paper No. BU-227-M). Ithaca, NY: Cornell University.
19. Searle, S.R. (1967a). Computer simulation of variance components estimates (Biometrics
Unit Paper No. BU-233-M). Ithaca, NY: Cornell University.
20. Searle, S.R. (1967b). Computer simulation of variance components estimates: Plots of
frequency distributions (Biometrics Unit Paper No. BU-245-M). Ithaca, NY: Cornell
University.
21. Searle, S.R. (1967c). Proof, and correction, of a result in a 1961 paper on variance
components (Biometrics Unit Paper No. BU-235-M). Ithaca, NY: Cornell University.
22. Searle, S.R. (1968a). Another look at Henderson’s methods of estimating variance
components. Biometrics 24: 749–787.
23. Searle, S.R. (1968b). Large sample variances of maximum likelihood estimators of
variance components (Biometrics Unit Paper Paper No. BU-255-M). Ithaca, NY:
Cornell University.
24. Searle, S.R. (1969). A discontinuity in mixed model analysis. Biometrics 25(3): 573–576.
(Biometrics Unit Paper No. BU-196). Ithaca, NY: Cornell University.
25. Rudan, J.W. & Searle, S.R. (1971). Attempts at inverting the variance-covariance matrix
of the 2-way crossed classification, unbalanced data, random model (Biometrics Unit
Paper No. BU-353-M). Ithaca, NY: Cornell University.
26. Searle, S.R. (1971). Topics in variance component estimation. Biometrics 27: 1–76.
27. Townsend, E.C. & Searle, S.R. (1971). Best quadratic unbiased estimation of variance
components from unbalanced data in the 1-way classification. Biometrics 27: 643–657.
28. Mount, T.D. & Searle, S.R. (1972). Estimating variance components in covariance
models. (Biometrics Unit Paper No. BU-403-M). Ithaca, NY: Cornell University. With
notes.
29. Searle, S.R. (1973a). Derivation of prediction formulae (Biometrics Unit Paper No. BU482-M). Ithaca, NY: Cornell University.
30. Searle, S.R. (1973b). Prediction, mixed models, and variance components (Biometrics
Unit Paper No. BU-468-M). Ithaca, NY: Cornell University.
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31. Searle, S.R. (1973c). Univariate data for multi-variable situations: estimating variance
components. In D.G. Kabe and R.P. Gupta (eds.). Proceedings of the Research Seminar
at Dalhouse University, 23–25 March 1972). North Holland: Amsterdam.
32. Searle, S.R. & Rounsaville, T.R. (1973). On estimating covariance components
(Biometrics Unit Paper No. BU-429-M).
33. Searle, S.R. & Rudan, J.W. (1973). Wanted: an inverse matrix. Communications in
Statistics 2(2): 155-166.
34. Henderson, C.R., Searle, S.R. & Schaeffer, L.R. (1974). The invariance and calculation of
method 2 for estimating variance components. Biometrics 30: 583–588.
35. Searle, S.R. (1974). Prediction, mixed models, and variance components (pp. 229–266).
In F. Proschan and R.J. Serfling (eds.). Reliability and Biometry. Philadelphia,
Pennsylvania: Society for Industrial and Applied Mathematics.
36. Corbeil, R.R. & Searle, S.R. (1976a). A comparison of variance component estimators.
Biometrics 32: 779–791.
37. Corbeil, R.R. & Searle, S.R. (1976b). Restricted maximum likelihood (REML) estimation
of variance components in the mixed model. Technometrics 18(1): 31–38.
38. Searle, S.R. (1978). A summary of recently developed methods of estimating variance
components (p.64–69). In A.R. Gallant and T.M. Gerig (eds.). Proceedings of the
Computer Science and Statistics 11th Annual Symposium on the Interface. NC State
University, Institute of Statistics.
39. Swallow, W.H. & Searle, S.R. (1978). Minimum variance quadratic unbiased estimation
(MIVQUE) of variance components. Technometrics 20(3): 265–272.
40. Searle, S.R. & Henderson, H.V. (1979). Dispersion matrices for variance components
models. Journal of the American Statistical Association 74(366): 465–470.
41. Searle, S.R. (1980). The inscrutable mixed model. Proceedings of the American
Statistical Association, Statistical Computing Section 42–46.
42. Searle, S.R. & Hudson, G.F.S. (1982). Some distinctive features of output from statistical
computing packages for analysis of covariance. Biometrics 38: 737–745.
43. Casella, G. (1983). Leverage and regression through the origin. The American Statistician
37(2): 147–152.
44. Searle, S.R. (1984). Best linear unbiased estimation in mixed model of the analysis of
variance (Biometrics Unit Paper No. BU-864-M). Ithaca, NY: Cornell University.
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45. Searle, S.R. (1984). Restrictions and generalized inverses in linear models. The American
Statistician 38(1): 53–54.
46. Piegorsch, W.W. & Casella, G. (1985). The existence of the first negative moment. The
American Statistician 39(1): 60–62. (BU-521)
47. Casella, G. (1986). Stabilizing binomial n estimators. Journal of the American Statistical
Association 81(393): 172–175. (BU-488)
48. Searle, S.R. & Pukelsheim, F. (1986). Effects of intraclass correlation on weighted
averages. The American Statistician 40(2): 103-105. (BU-477)
49. Searle, S.R. (1988a). Best linear unbiased estimation in mixed models of the analysis of
variance (p.233–241). In J.N. Srivastava (ed.). Probability and Statistics: Essays in
Honor of Franklin A. Graybill. Amsterdam: North-Holland. (BU-483)
50. Searle, S.R. (1988b). Mixed models and unbalanced data: Wherefrom, whereat and
whereto? Communications in Statistics–Theory and Methods 17(4): 935–968. (BU-507)
51. Searle, S.R. (1989). Variance components – some history and a summary account of
estimation methods. Journal of Animal Breeding and Genetics 106: 1–29. (BU-522)
52. Maatta, J.M. & Casella, G. (1990). Developments in decision-theoretic variance
estimation. Statistical Science 5(1): 90–120.
53. Casella, G. (1992). Illustrating empirical Bayes methods. Chemometrics and Intelligent
Laboratory Systems 16: 107–125. (BU-645)
54. Altman, N.S. & Casella, G. (1995). Nonparametric empirical Bayes growth curve
analysis. Journal of the American Statistical Association 90(430): 508–515. (BU-698)
55. McCulloch, C.E. & Searle, S.R. (1995). On an identity derived from unbiasedness in
linear models. The American Statistician 49(1): 39–42. (BU-696)
56. Searle, S.R. (1995a). An overview of variance component estimation. Metrika 42: 215–
230.
57. Searle, S.R. (1995b). Some follow-up on Aitken’s Least Squares Equations (Biometrics
Unit Paper No. BU-712). Ithaca, NY: Cornell University.
58. Searle, S.R. & McCulloch, C.E. (1996). Linear models 1945–1995 (p.65–87). In P.
Armitage and H.A. David (eds.). Advanced in Biometry. Wiley. (BU-711)
59. Searle, S.R. (1997). The matrix handling of BLUE and BLUP in the mixed linear model.
Linear Algebra and its Applications 264: 291–311. (BU-718)
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© 2007, Timothy G. Gregoire, Yale University
60. Searle, S.R. (1999). On linear models with restrictions on parameters (Biometrics Unit
Paper No. BU-1450-M). Ithaca, NY: Cornell University.
61. Hudson, G.F.S. & Searle, S.R. (no date). Hypothesis testing with type IV sums of squares
of the computer routine SAS GLM.
62. Searle, S.R. (no date). Analysis of covariance using SAS GLM.
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