Thomas E. Wehrly

Affiliations: 
Texas A & M University, College Station, TX, United States 
Area:
Statistics
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"Thomas Wehrly"
Bio:

https://www.genealogy.math.ndsu.nodak.edu/id.php?id=61291

Parents

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Gouri Kanta Bhattacharyya grad student 1976 UW Madison
Richard A. Johnson grad student 1976 UW Madison
 (Models for Bivariate Directional Data and Angular-Linear Data with Applications to Statistical Inference.)

Children

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Jihnhee Yu grad student 2003 Texas A & M
Nai-Wei Chen grad student 2011 Texas A & M
Daniel L. Glab grad student 2011 Texas A & M
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Publications

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Chen HC, Wehrly TE. (2016) Approximate uniform shrinkage prior for a multivariate generalized linear mixed model Journal of Multivariate Analysis. 145: 148-161
Chen HC, Wehrly TE. (2015) Assessing correlation of clustered mixed outcomes from a multivariate generalized linear mixed model. Statistics in Medicine. 34: 704-20
Yu J, Wehrly TE. (2004) An approach to the residence time distribution for stochastic multi-compartment models. Mathematical Biosciences. 191: 185-205
Matis JH, Wehrly TE. (1998) A general approach to non-Markovian compartmental models Journal of Pharmacokinetics and Biopharmaceutics. 26: 437-456
Cardwell KF, Wehrly TE. (1997) A rank test for distinguishing environmentally and genetically induced disease resistance in plant varieties Biometrics. 53: 195-206
Ellis TE, Rudd MD, Rajab MH, et al. (1996) Cluster analysis of MCMI scores of suicidal psychiatric patients: Four personality profiles Journal of Clinical Psychology. 52: 411-422
Matis JH, Wehrly TE. (1994) 17 Compartmental models of ecological and environmental systems Handbook of Statistics. 12: 583-613
Baek J, Wehrly TE. (1993) Kernel estimation for additive models under dependence Stochastic Processes and Their Applications. 47: 95-112
Hart JD, Wehrly TE. (1993) Consistency of cross-validation when the data are curves Stochastic Processes and Their Applications. 45: 351-361
Hart JD, Wehrly TE. (1992) Kernel regression when the boundary region is large, with an application to testing the adequacy of polynomial models Journal of the American Statistical Association. 87: 1018-1024
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