Jeffrey B. Birch

Professor Emeritus

Education

  • Ph.D., Department of Biostatistics, University of Washington, Seattle, Washington, 1978
  • Dissertation Title: Small Sample Robustness Properties of Generalized M-Estimators Applied to First Order Autoregression.
  • Dissertation Advisor: Dr. R. Douglas Martin†
  • M.S., Department of Biostatistics, University of Washington, Seattle, Washington, 1970
  • Thesis Title: The Exact Distribution and Power of the Log Likelihood
  • Ratio and Index of Dispersion Statistics Under Small Samples from Poisson Distributions.
  • Thesis Advisor: Dr. B.M. Bennett
  • B.S., Department of Mathematics, University of Washington, Seattle, Washington, 1968

Awards and Honors

  • Alumni Award for Teaching Excellence
  • University Award for Outstanding Teaching
  • William E. Wine Award for Teaching Excellence
  • University Award for Outstanding Teaching Member
  • Academy of Teaching Excellence

Other Activities

  • Former Associate Editor, Biometrics
  • Former Chair, University Athletic Committee

Professional Memberships

  • American Statistical Association
  • Biometric Society
  • Mu Sigma Rho, National Statistics Honor Society
  • Sigma Xi
  • Virginia Academy of Science
  • Regression
  • Advanced Regression
  • Bioassay
  • Exploratory and Robust Data Analysis
  • Applied Statistics
  • Statistical Methods
  • Linear and Nonlinear Regression
  • Generalized Linear Models
  • Mixed Linear Models
  • Analysis of Clustered Data
  • Nonparametric and Semiparametric Regression
  • Exploratory and Robust Data Analysis
  • Bioassay
  • Computationally Intensive Methods in Statistics
  • Williams, J. D., Birch, J. B., and Abdel-Salam, A-S. G. 2015. Outlier Robust Nonlinear Mixed Model Estimation.† To appear in Statistics in Medicine.
  • Chen, Y., Birch, J. B.† and W. H. Woodall. Effect of Phase I Estimation on Phase II Control Chart Performance with Profile Data. 2015. To appear in Quality Reliability and Engineering International.
  • Chen, Y., Birch, J. B.† and W. H. Woodall.† 2015. A Phase I Cluster-Based Method for Analyzing Nonparametric Profiles. 2015. To appear in Quality Reliability and Engineering International.
  • Chen, Y. and Birch, J. B. Cluster-Based Profile Monitoring in Phase I Analysis. 2015. Journal of Quality Technology 47, 1, 14-29.
  • Wan, Wen and Birch, Jeffrey B. 2013. An Improved Hybrid Genetic Algorithm with a Modified Individual Learning Procedure. Journal of Applied Mathematics. Volume 2013, Article ID 103591, 10 pages. http://dx.doi.org/10.1155/2013/103591
  • Waterman, M. J., Birch, J. B., and A-S. G. Abdel-Salam. 2013. Several Nonparametric and Semiparametric Approaches to Linear Mixed Model Regression. Journal of Statistical Simulation and Computation. †DOI: 10.1080/00949655.2013.856435
  • Lawrence, D., Birch, J. B., and Chen, Y. Cluster-Based Bounded Influence Regression. 2013.Quality Engineering and Reliability International. In press (Early View).
  • Abdel-Salem, A.-S.G, Birch, J. B., and W. A. Jensen. 2013. Nonparametric and Semiparametric Mixed Model Methods for Phase I Profile Monitoring. Quality and Reliability Engineering International. 29,4,555-569.
  • Wan, W. and J. B. Birch. 2011. Using a Modified Genetic Algorithm to find Feasible Regions of a Desirability Function. Quality and Reliability Engineering International 28,7, pp1173-1182.
  • Jensen, Willis and Jeffrey B. Birch. 2011. Correlation and Autocorrelation in Profiles. Chapter 9 of the book Statistical Analysis and Profile Monitoring, eds. Noorossana, R, Saghaei A., Amiri, A. . Wiley, New†York.
  • Wan, W. and J. B. Birch. 2011. A Semiparametric Technique for the Multi-Response Optimization Problem. Quality and Reliability Engineering International 27, 1, pp. 47-59.†
  • William I. Thacker, Jingwei Zhang, Laynet Watson, Jeffrey B. Birch, Manjula A. Iyer, Michael W. Berry. 2010. Algorithm 905: Modified Shepard Algorithm for Interpolation of Scattered Multivariate Data. ACM Transactions Mathematical Software 37(3).
  • Walker, Eric, Starnes, B. A., Birch, J. B., and Mays, J. E. 2010. Model Robust Calibration: Method and Application to Electronically-Scanned Pressure Transducers. American Institute of Aeronautics and†Astronautics. Referred proceedings from the 27th AIAA Aerodynamic Measurement Technology and Ground Testing Conference, Chicago, Illinois, June 28-July 1, 31 pages.
  • Zhang, C., L. Zhou, W. Wan, J. Birch, W. B. Chen. 2010. An Image Clustering and Feedback-Based Retrieval Framework. International Journal of Multimedia Data Engineering & Management. Vol. 1, No. 1, 55-74.†
  • Woodall, W. H., Birch, J. B. and P. Du. 2010. Discussion of the paper Nonparametric Profile Monitoring by Mixed Effects Modeling. Technometrics. 52-3, 285-287.
  • Robinson, T. J. , Birch J. B. and A. Starnes. 2010. A Semiparametric Approach to Dual Modeling When No Replication Exists. Journal of Statistical Planning and Inference. 140 (10), 2860-2869.
  • Liping Zhou, Chengcui Zhang, Wen Wan, Jeffrey B. Birch, Wei-bang Chen. 2009. An Image Clustering and Retrieval Framework Using Feedback-Based Integrated Region Matching. †Machine Learning Applications in Bioinformatics and Computational Biology 596-60.
  • Williams, James D., Sullivan, Joe H., and Jeffrey B. Birch. 2009. Maximum Value of Hotellingís †T^2 Statistic Based on the Successive Differences Covariance Matrix Estimator. Communications in†Statistics: Theory and Methods. 38 (4), pp. 471-483.
  • Jensen, Willis A. and Jeffrey B. Birch. 2009. Profile Monitoring Via Nonlinear Mixed Models. Journal†of Quality Technology 41, 18-35.
  • Pickle, S. M., T. J. Robinson, J. B. Birch, and C. Anderson-Cook. 2008. A Semi-Parametirc Approach to Robust Parameter Design. Journal of Statistical Planning and Inference. 138, pp. 114-131.
  • Jensen, Willis A., Jeffrey B. Birch, and William H. Woodall. 2008. Monitoring Correlation within Linear Profiles Using Mixed Models. Journal of Quality Technology. 40, pp. 167-183.
  • Williams, J. D., Woodall, W. H., and Birch, J.B. 2007. Statistical Monitoring of Nonlinear Products and Processes Quality Profiles . Quality and Reliability Engineering International. 23(7), pp 925-941.
  • Jensen, Willis A., Jeffrey B. Birch, and William H. Woodall. 2007. High Breakdown Estimation Methods for Phase I Multivariate Control Charts. Quality and Reliability Engineering International. 23 (5), pp. 615-629.
  • Williams, J.D., J.B. Birch, W.H. Woodall, and N. M. Ferry. 2007. Statistical Monitoring of Heteroscedastic Dose-Response Profiles from High-throughput Screening. Journal of Agricultural,†Biological and Environmental Statistics. 12, 2, pp 216-235.
  • Williams, James D., Woodall, William H., Birch, Jeffrey B., and Sullivan, Joe H. 2006. Distributional Properties of the Multivariate T2 Statistic Based on the Successive Differences Covariance Matrix Estimator. Journal of Quality Technology 38, 3, pp 217-229.
  • Birch, J. B. and J. P. Morgan. 2005. TA Training at Virginia Tech: A Stepwise Progression. The†American Statistician. 59, 1, pp. 14-18. Invited Paper.
  • Brenden, T. O., B. R. Murphy, J. B. Birch.†2003. Statistical properties of the relative weight (Wr) index and an alternative procedure for testing Wr differences between groups. North American Journal of Fisheries†Management†. 23:1136-1151.
  • Williams, James D., J. B. Birch, and S. Walfish. 2003. Statistical Method to Account for Plate-to-Plate Variability in Multiple-Plate Bioassays. Biopharm International. May. pp. 44-54.
  • Mays, J. E. and J.B. Birch. 2002. Smoothing for Small Samples with Model Misspecification: Nonparametric and Semiparametric Concerns. Journal of Applied Statistics. 29, pp. 1023-1045.
  • Craig, J. R. , D. Edwards, J. D. Rimstidt, P. F. Scanlon, T. K. Collins, O. Schabenberger, and J. B. Birch. 2002. Lead Distribution on a Public Shotgun Range. Environmental Geology. 41:873-882.
  • Schabenberger, O. and J. B. Birch. 2001. Statistical Dose-Response Models with Hormetic Effects.†Human and Ecological Risk Assessment. Vol. 7, number 4, pp. 891-908.
  • Mays, J. E., Birch, J. B., and B. A. Starnes. 2001. Model Robust Regression: Combining Parametric, Nonparametric, and Semiparametric Methods. Journal of Nonparametric Statistics.†Volume 12, Issue 2, pp 245-277.
  • Assaid, C. and J. B. Birch. 2000. Automatic Bandwidth Selection in Robust Nonparametric Regression. Journal of Statistical Computation and Simulation. Vol. 66, pp. 259-272.
  • Starnes, B. A. and J. B. Birch. 2000. Asymptotic Results for Model Robust Regression. Journal of Statistical†Computation and Simulation. Vol. 66, pp. 19-33.†
  • Robinson, T. J. and J. B. Birch. 2000. Dual Model Robust Regression. Journal†of Statistical Computation and Simulation. Vol. 66, pp 113-126.
  • Nottingham, Q. J., Birch, J. B. and B. A. Bodt. 2000. Local Logistic Regression: An Application to Army Penetration Data. Journal of Statistical Computation and Simulation. Vol. 66, pp. 35-50.
  • Mays, J. E. , Birch, J. B. and R. L. Einsporn. 2000. An overview of Model Robust Regression. Journal of Statistical Computation and Simulation. Vol. 66, pp. 79-100.
  • Nottingham, Q.J. and J.B. Birch. 2000. A Semiparametric Approach to Analyzing Dose-Response Data. Statistics in Medicine. Vol. 19, 389-404.
  • Gupta R. K., Mostaghimi S., McClellan P.W., Birch J.B., and D.E. Brann. 1999. Modeling spatial variability of soil chemical parameters for site-specific farming using stochastic methods. Water Air†and Soil Pollution. 110: (1-2), 17-34.
  • Nottingham, Q. J. and J. B. Birch. 1998. A Note On the Small Sample Behavior of Logistic Regression in a Bioassay Setting. Journal of Biopharmaceutical Statistics. Vol. 8, No. 4, 565-576.
  • Bartelmehs, K.L., R.L. Downs, G.V. Gibbs, M.B. Boisen, Jr, and J.B. Birch. 1995. Tetrahedral rigid-body motion in silicates. American Mineralogist. Vol. 80, 680-690.
  • Mainguy, Y., J.B. Birch, and L.T. Watson. 1995. A robust variable order facet model for image data. Machine Vision and Application 8, 141-162.
  • Birch, J.B. 1995. Ten suggestions for effectively teaching short courses to heterogeneous groups. The American Statistician. Vol. 49, No. 2, 190-195.
  • Birch, J.B. and D.B. Agard. 1993. Robust inference in multiple regression: a comparative study.†Communications in Statistics-Simulation and Computation. 22(1), 217-244.
  • Chism, W.J., J.B. Birch, and S.W. Bingham. 1992. Use of nonlinear regressions for analyzing growth stage and quinclorac interactions. Weed Technology, Vol. 6, No. 3, 898-903.
  • Campbell, R.J., R.P. Marini, and J.B. Birch. 1992. Canopy Position Affects Light Response Curves for Gas Exchange Characteristics of Apple Spur Leaves. Journal of the American Society of†Horticultural Science, Vol. 117, No. 3, 467-472.
  • Bartelmehs, K.L., F.D. Bloss, R.L. Downs, and J.B. Birch. 1992. Excalibr II. Zeitschrift fur Kristallographie, Vol. 199, 185-197.
  • Sarmadi, A.M., C.J. Noel, and J.B. Birch. 1990. Effects of Heat Treatment on Dyeability, Glass Transition, Temperature, and Tensile Properties of Polyacrylonitrile Fibers. Industrial and†Engineering Chemistry Research, Vol. 29, 1640-1646.
  • Sibol, M.S., J.A. Snoke, G.A. Bollinger, M.C. Chapman, J.B. Birch, and A.L. Johnson. 1990. The probability of a major earthquake in the eastern United States. Seismological Research†Letters, Vol. 61, No. 2, 131-134.
  • Besl, P.J., J.B. Birch, and L.T. Watson. 1989. Robust window operators. Machine Vision and†Applications, Vol. 2, 179-191.
  • Bollinger, G.A., F.C. Davison, M.S. Sibol, and J.B. Birch. 1989. Magnitude recurrence relations for the southeastern U.S. and its subdivisions. Journal of Geophysical Research. Vol. 94, No. B3, 2857-2873.
  • Besl, P.J., J.B. Birch, and L.T. Watson. 1988. Robust window operators. IEEE Proceedings of the†Second International Conference on Computer Vision. 591-600. (Refereed paper).
  • Lee, Wonwoo and J.B. Birch. 1988. Fractional principal components regression: A general approach to biased estimators. Communication in Statistics: Simulation and Computation, Vol. 17, No. 3, 713-729.
  • Birch, J.B. 1988. Untilting. In Encyclopedia of Statistical Sciences, Vol. 9. (N.L. Johnson, S. Kotz, and C.B. Read, editors. New York: Wiley). 421-423.
  • Walker, E. and J.B. Birch. 1988. Influence measures in ridge regression. Technometrics, Vol. 30, No. 2, 221-228. Corrections, Technometrics, Vol. 30, No. 4, 469-470.
  • Sibol, M.S., G.A. Bollinger, and J.B. Birch. 1987. Estimation of magnitudes in central and eastern North America using intensity of felt area. Bulletin of the Seismological Society of America, Vol. 77, No. 5, 1635-1654.
  • Burger, C.J., K.D. Elgert, J.J. Tyson, and J.B. Birch. 1986. An improved data analysis method for Interleakin 2 microassay. Computers in Biology and Medicine, Vol. 16, No. 5, 377-390.
  • Perry, B.D., J.E. Palmer, H.F. Toutt, J.B. Birch, R.A. Magnasson, M. Ehrich, and Y. Rikihisa. 1986.†Epidemiological characterization of an acute equine diarrhea syndrome: The case-control approach. Preventive Veterinary Medicine 4, 69-82.
  • Schick, A.G., J.B. Birch, and R.E. Tripp. 1986. Authority and power in organizational decision making: The case of a university manpower budget. Canadian Journal of Administrative†Science 3, 41-65.
  • Birch, J.B. and R.V. Foutz. 1985. An algorithm to compute a two-sample test based on empirical probability measures. Communications in Statistics: Simulation and Computation, B14(1), 249-252.
  • Birch, J.B. and S. Fleischer. 1984. Diagnostic methods for detecting outliers in regression analysis.†Environmental Entomology 13(1), 19-25.
  • Birch, J.B. and R.V. Foutz. 1984. Selected percent points for a test for the two-sample problem based on empirical probability measures. Communications in Statistics, B13(3), 397-405.
  • Binkley, D.A. and J.B. Birch. 1984. Estimation of regression coefficients under model misspecification and non-normality or errors. Journal of Statistical Computation and Simulation 19, 155-170.
  • Yang, Y.S., J.M. Skelly, B.J. Chevone, and J.B. Birch. 1983. Effects of long-term ozone exposure on photosynthesis and dark respiration of eastern white pine. Environmental Science and†Technology 17, 371-373.
  • Yang, Y.S., J.M. Skelly, B.J. Chevone, and J.B. Birch. 1983. Effects of short-term ozone on net photosynthesis, dark respiration and transpiration of three eastern white pine clones.†Environmental International 9, 265-269.
  • Birch, J.B. and D.A. Binkley. 1983. Effects of mild heteroscedasticity and non-normality of errors on estimators in regression. Communications in Statistics, B12(3), 331-354.
  • Birch, J.B. 1983. On the power of robust tests in analysis of covariance. Communications in†Statistics, B12(2), 159-182.
  • Foutz, R.V. and J.B. Birch. 1982. Tests for the two-sample problem based on empirical probability measures. Communications in Statistics: Theory and Methods, All(16), 1839-1853.
  • Birch, J.B. and R.H. Myers. 1982. Robust analysis of covariance. Biometrics 38, 699-713. (Refereed invited paper).
  • Birch, J.B. and R.D. Martin. 1981. Confidence intervals for robust estimates of the first order autoregressive parameter. Journal of Time Series, Vol. 2, No. 4, 205-220.
  • Birch, J.B. 1980. Effects of the starting value and stopping rule on robust estimates obtained by iterated weighted least squares. Communications in Statistics, B9(2), 141-154.
  • Birch, J.B. 1980. Some convergence properties of iterated reweighted least squares in the location model. Communications in Statistics, B9(4), 359-369.
  • Bennett, B.M. and J.B. Birch. 1974. On the small sample distribution and power of the log likelihood ratio and variance tests for the Poisson. Journal of Statistical Computation and Simulation, Vol. 3, 33-40.