| Title: Professor EmeritusDepartment: Biostatistics Office: Telephone: Email: CV: |
Biography & ExpertiseEducationPhD Statistics Texas A&M University 1969 MS Statistics Texas A&M University 1966 BA Mathematics Texas A&M University 1965 Selected PublicationsLaMotte, L. R. Fractional Rank Estimators. Wiley StatsRef: Statistics Reference Online. LaMotte, L. R. Linear Estimators, Bayes. Wiley StatsRef: Statistics Reference Online. LaMotte, L. R. Fixed-, Random-, and Mixed-Effects Models. Wiley StatsRef: Statistics Reference Online. Wells, J., & LaMotte, L. R. The Role of a PMI-Prediction Model in Evaluating Forensic Entomology Experimental Design, the Importance of Covariates, and the Utility of Response Variables for Estimating Time Since Death. MDPI AG, 8(2), 47. LaMotte, L. R. Proportional subclass numbers in two-factor ANOVA. Informa UK Limited, 1-11. LaMotte, L. R., & Wells, J. D. Inverse prediction for heteroscedastic response using mixed models software. Informa UK Limited, 1-9. LaMotte, L. R., Roe, A. L., Wells, J. D., & Higley, L. G. (2017, June). A Statistical Method to Construct Confidence Sets on Carrion Insect Age from Development Stage. Springer Nature, 22(2), 161-171. LaMotte, L. R., & Wells, J. D. (2017, January (1st Quarter/Winter)). Commentary on J-P. Michaud, G. Moreau, Predicting the visitation of carcasses by carrion-related insects under different rates of degree-day accumulation, Forensic Sci. Int. 185 (2009) 78–83. Elsevier BV, 270, e16-e19. LaMotte, L. R., & Wells, J. D. (2016, December). Inverse prediction for multivariate mixed models with standard software. Springer Nature, 57(4), 929-938. Wells, J. D., Lecheta, M. C., Moura, M. O., & LaMotte, L. R. (2015, March). An evaluation of sampling methods used to produce insect growth models for postmortem interval estimation. Springer Nature, 129(2), 405-410.
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