B.A. Mathematics - 1965
Texas A & M University

M.S. Statistics - 1966
Texas A & M University

Ph.D Statistics - 1969
Texas A & M University

Developing statistical methodology related to applications of linear models

Introductory and intermediate statistical methods
Regression analysis, model building, and multivariate methods
Survey sampling
Design of experiments
Introductory mathematical statistics
Nonparametric methods
Multivariate statistics
Linear models
Advanced topics in linear models, including mixed models, inference on variance components, and admissibility
Undergraduate mathematics courses, including trigonometry, mathematical statistics and probability, and elementary differential equations
A one-semester survey for pre-MBA students covering some linear algebra, some differential and integral calculus, and financial calculations

LaMotte, L.R. and R.R. Hocking, Computational efficiency in the selection of regression variables, Technometrics 12:83-93, 1970.

LaMotte, L.R, Notes on the covariance matrix of a random, nested ANOVA model, Annals of Mathematical Statistics 43:659-662, 1972.

LaMotte, L.R, The SELECT routines: a program for identifying best subset regressions, Applied Statistics 21:92-93, 1972.

LaMotte, L.R., Quadratic estimation of variance components, Biometrics 29:311-330, 1973.

LaMotte, L.R, On nonnegative quadratic unbiased estimation of variance components, Journal of the American Statistical Association 68:728-730, 1973.

LaMotte, L.R., Invariant quadratic estimators in the random, one-way ANOVA model, Biometrics 32:793-804, 1976.

LaMotte, L.R, On admissibility and completeness of linear unbiased estimators in a general linear model, Journal of the American Statistical Association 72:438-441, 1977.

LaMotte, L.R, A canonical form for the general linear model, Annals of Statistics 5:787-789, 1977.

Oxspring, H.H. and L.R. LaMotte, The design of incomplete multinomial samples: The nested case, Technometrics 19:59-63, 1977.

LaMotte, L.R. and A. McWhorter, Jr, An exact test for the presence of random walk coefficients in a linear regression model, Journal of the American Statistical Association 73:816-820, 1978.

Hartley, H.O., J.N.K. Rao, and L.R. LaMotte, A simple 'synthesis'-based method of variance component estimation, Biometrics 34:233-242, 1978.

LaMotte, L.R, Bayes linear estimation, Technometrics 20:281-290, 1978.

LaMotte, L.R, Admissibility in linear estimation, Annals of Statistics 10:245-255., 1982.

Simonds, R.R., A. McWhorter, Jr., and L.R. LaMotte, Testing for nonstationarity of market risk: an exact test and power considerations, Journal of Financial and Quantitative Analysis 21:209-220., 1986.

LaMotte, L.R., A. McWhorter, Jr., and Ram A. Prasad, Confidence intervals and tests on the variance ratio in random models with two variance components, Communications in Statistics - Theory and Methods 17(4):1135-1164, 1988.

Peixoto, J. and L.R. LaMotte, Simultaneous identification of outliers and predictors using variable selection techniques, Journal of Statistical Planning and Inference 23:327-343, 1989.

LaMotte, L.R, A note on the role of independence in t-statistics constructed from linear statistics in regression models, The American Statistician 48:238-240, 1994.

LaMotte, L.R, On limits of uniquely best linear estimators, Metrika 45:197-211, 1997.

Volaufová, J. and L.R. LaMotte, A note on invariant quadratics, Linear Algebra and Its Applications 264:247-253, 1997.

LaMotte, L.R., and Volaufová, J, Prediction intervals via consonance intervals, The Statistician 48(3):419-424, 1999.

LaMotte, L.R, Collapsibility hypotheses and diagnostic bounds in regression, Metrika 50(2): 89-107, 1999.

LaMotte, L.R and Wells, J.D., P-values for postmortem intervals from arthropod succession data, Journal of Agricultural, Biological, and Environmental Statistics 5(1): 37-47, 2000.