Steve Hillmer

Professor, Director - Davis Center for Figure Sense
Primary office:
785-864-7549
Capitol Federal Hall
Room 3101
University of Kansas


Summary

Academic Area

Decision Sciences and Business Analytics

Interests

  • Use of statistical methods in solving of organizational problems
  • Quality management and customer focused operations
  • Statistical process control methods in the control and improvement of manufacturing and service processes
  • Management based upon a systems view of the organization
  • Methods to understand customer's needs

Recent Projects

  • Sampling schemes for qualitative data
  • A strategy to use stratification in process improvement of a call center.

Current Activities

Professor Hillmer has been involved with interviewing recruiters to clearly understand the characteristics that these recruiters desire in graduates from the Schools MBA program. The results of this research will be an understanding of the characteristics of an ideal graduate which are most important to firms hiring the Schools students.

Selected Publications

  • Hillmer, S.C., and Kocabasoglu, C., 2007. Improving Quality and Productivity via Stratification: A Call Center Example for Forming Homogenous Groups. Quality Management Journal, p. 19.
  • Hillmer, S.C., Hillmer, B.C., and MacRoberts, G., 2004. The Real Cost of Turnover: Lessons from a Call Center. Human Resource Planning Journal 27, p.34.
  • Lee, J. and Hillmer, S.C., 2003. Estimating the Effect of Parameter Uncertainty in Repeated Sample Surveys. Communication in Statistics: Simulation and Computation 32, p. 367.
  • Hillmer, S.C., 2002. Time Series Regressions. Chapter in Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications, London: Lawrence Erlbaum Associates, Moskowitz and Hershberger editors.
  • Bell, W.R. and Hillmer, S.C., 2002. Issues involved with the seasonal adjustment of economic time series. Journal of Business and Economic Statistics, 20th Anniversary Commemorative issue, 20, p. 98.
  • Hillmer, S.C. and Karney, D.F., 2002. An Evaluation of the Foundations of Deming's Management Theory. Proceedings of Eight Annual Deming Research Seminar, New York.
  • Hillmer, S.C. and Karney, D.G., 2001. In support of the Assumptions at the Foundation of Deming's Management Theory. The Journal of Quality Management 6, p. 317.
  • Hillmer, S.C. and Karney, D.G., 1997. Towards Understanding the Foundations of Deming's Management Theory. The Journal of Quality Management 2, p. 171.
  • Hillmer, S.C., 1996. A Problem Solving Approach to Teaching Business Statistics. The American Statistician 50, p. 249.

Education

  • Ph.D., University of Wisconsin-Madison (1976)
  • Master's, University of Wisconsin-Madison (1974)
  • Bachelor's, Drake University (1971)

Teaching Interests

  • Decision Sciences
  • Statistical methods
  • Quality management
  • Customer focused operations

Research Interests

  • Decision Sciences
  • Statistical methods
  • Quality management
  • Customer focused operations
  • Data analytics

Selected Publications

Singha, S. Hillmer, S. C., & Shenoy, P. (2017). Computing the probabilities of dismissal of 10b-5 securities class-action cases. Decision Support Systems, 94(C), 29-41.

Singh, S. N., Hillmer, S. C., & Wang, Z. (2011). Efficient Methods for Sampling Responses from Large-Scale Qualitative Data. Marketing Science, 30(3), 532-549.

Hillmer, S. C., & Kocabasoglu, C. (2008). Using Qualitative Data to Learn about Customer Needs: Understanding Employer Desires When Designing an MBA Program. The Quality Management Journal, 15(2), 51-63.

Hillmer, S. C., & Kocabasoglu, C. (2007). Improving Quality and Productivity via Stratification: A Call Center Example for Forming Homogenous Employee Groups. The Quality Management Journal, 14(1), 19-29.

Hillmer, S. C., Hillmer, B. C., & McRoberts, G. (2004). The Real Costs of Turnover: Lessons from a Call Center. Human Resource Planning Journal, 27(3), 34.

Lee, J. J., & Hillmer, S. C. (2003). Estimating the Effect of Parameter Uncertainty in Repeated Sample Surveys. Communication in Statistics: Simulation and Computation, 32(2), 367-388.

Hillmer, S. C. (2002). Time Series Regressions. In . Moskowitz & . Hershberger (Eds.), Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications. London: Lawrence Erlbaum Associates.

Hillmer, S. C., & Karney, D. F. (2002). An Evaluation of the Foundations of Deming's Management Theory. In Proceedings of Eight Annual Deming Research Seminar. New York.

Bell, W. R., & Hillmer, S. C. (2002). Issues Involved with the Seasonal Adjustment of Economic Time Series. Journal of Business & Economic Statistics, 20(1), 98-127.

Hillmer, S. C., & Karney, D. F. (2001). In Support of the Assumptions at the Foundation of Deming's Management Theory. Journal of Quality Management, 6(2), 371-400.

Hillmer, S. C., & Karney, D. F. (1997). Towards Understanding the Foundations of Deming's Theory of Management. Journal of Quality Management, 2(2), 171-189.

Hillmer, S. C. (1996). A Problem-Solving Approach to Teaching Business Statistics. The American Statistician, 50(3), 249-256.

Hillmer, S. C., Hillmer, B. Wilson, B. & Yochim, J. (1995). Applying Quality Function Deployment to Improve an MBA Education. In H. Roberts (Ed.), Academic Initiatives in Total Quality for Higher Education (pp. 159-180). Milwaukee: ASQC Quality Press.

Bell, W. R., & Hillmer, S. C. (1991). Initializing the Kalman Filter for Nonstationary Time Series Models. Journal of Time Series Analysis, 12(4), 283-300.

Stam, A. & Hillmer, S. C. (1991). Order Reductions of the Marginals and Identification of Multiple ARMA Models. SIAM Journal of Matrix Analysis and Applications, 12(4), 679-689.

Trabelsi, A. & Hillmer, S. C. (1990). Benchmarking Time Series with Reliable Benchmarks. Applied Statistics, 39, 367.

Bell, W. R., & Hillmer, S. C. (1990). The Time Series Approach to Estimation for Repeated Surveys. Survey Methodology, 16, 195.

Trabelsi, A. & Hillmer, S. C. (1989). A Benchmarking Approach to Forecast Combination. Journal of Business & Economic Statistics, 7(3), 353-362.

Hillmer, S. C., & Trabelsi, A. (1987). Benchmarking of Economic Time Series. Journal of the American Statistical Association, 82(400), 1064-1071.

Stam, A. & Hillmer, S. C. (1987). Marginals of Multivariate First-Order Autoregressive Time Series Models. Journal of Time Series Analysis, 9(1), 89-97.

Salinas, T. S., & Hillmer, S. C. (1987). Multicollinearity Problems in Modeling Time Series with Trading-Day Variation. Journal of Business & Economic Statistics, 5(3), 431-436.

Hillmer, S. C. (1985). Measures of Variability for Model-Based Seasonal Adjustment Procedures. Journal of Business & Economic Statistics, 3(1), 60-68.

Bell, W. R., & Hillmer, S. C. (1985). Reply to Comments by C.A. Sims on Issues Involved with the Seasonal Adjustment of Economic Time Series. Journal of Business and Economics Statistics, 3.

Bell, W. R., & Hillmer, S. C. (1984). Issues Involved with the Seasonal Adjustment of Economic Time Series. Journal of Business & Economic Statistics, 2(4), 291-320.

Hillmer, S. C. (1984). Monitoring and Adjusting Forecasts in the Presence of Additive Outliers. Journal of Forecasting, 3(2), 205-215.

Hillmer, S. C., Larcker, D. F., & Schroeder, D. A. (1983). Forecasting Accounting Data: A Multiple Time Series Analysis. Journal of Forecasting, 2(4), 389-404.

Bell, W. R., & Hillmer, S. C. (1983). Modeling Time Series with Calendar Variation. Journal of the American Statistical Association, 78(383), 526-534.

Hillmer, S. C., Bell, W. R., & Tiao, G. C. (1982). Modeling Considerations in the Seasonal Adjustment of Economic Time Series. In A. Zellner (Ed.), Applied Time Series Analysis of Economic Data (pp. 74-124). U.S. Department of Commerce, Bureau of the Census.

Hillmer, S. C., & Tiao, G. C. (1982). An ARIMA-Model-Based Approach to Seasonal Adjustment. Journal of the American Statistical Association, 77(377), 63-70.

Hillmer, S. C. (1982). Forecasting Time Series with Trading Day Variation. Journal of Forecasting, 1(4), 385-395.

Hillmer, S. C., & Tiao, G. C. (1979). Likelihood Function of Stationary Multiple Autoregressive Moving Average Models. Journal of the American Statistical Association, 74(367), 652-660.

Hillmer, S. C., & Yu, P. L. (1979). The Market Speed of Adjustment to New Information. Journal of Financial Economics, 7(4), 321-345.

Hillmer, S. C., & Tiao, G. C. (1978). Smoothing of Time Series from a Bayesian Viewpoint. In A. Zellner (Ed.), Studies in Bayesian Economics and Statistics. Amsterdam, The Netherlands: North-Holland Pub. Co.

Tiao, G. C., & Hillmer, S. C. (1978). Some Consideration of Decomposition of a Time Series. Biometrika, 65(3), 497-502.

Box, E. P., Hillmer, S. C., & Tiao, G. C. (1978). Economic Research Report ER-1. Analysis and Modeling of Seasonal Time Series. Seasonal Analysis of Economic Time Series, 309-344. U.S. Department of Commerce, Bureau of the Census.

Tiao, G. C., & Hillmer, S. C. (1977). Statistical Models for Ambient Concentrations of Carbon Monoxide, Lead and Sulfate Based on the LACS Data. Environmental Science and Technology, 12(7), 820-828.


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