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Ulrich Menzefricke

Ulrich Menzefricke

Professor Emeritus of Operations Management and Statistics

Degrees:

DBA, Indiana University
MBA, Indiana University

Bio

Uli Menzefricke is a Professor Emeritus of Operations Management and Statistics at Rotman. His research is focused on the extension of models and methodology in the areas of decision theory and quantitative analysis, in particular the models of statistical and probabilistic nature and their application to business situations. He is currently working on auditing issues for forecasting models, especially in pension forecasts and statistical quality control.

Academic Positions

  • 1987-Present

    Professor, School of Management, University of Toronto

  • 1978-1987

    Associate Professor, Faculty of Management, University of Toronto

  • 1975-1978

    Assistant Professor of Management, University of Arizona

  • 1972-1975

    Associate Instructor, Indiana University

Selected Publications - Papers

  • Control Charts for the Variance and the Coefficient of Variation Based on Their Predictive Distribution

    Communications in Statistics – Theory and Methods

    Issue:Vol. 39(16)

    2010

    Pages: pp. 2930-2941

  • Multivariate Exponentially Weighted Moving Average Charts for a Mean Based on Its Predictive Distribution

    Communications in Statistics – Theory and Methods

    Issue:Vol. 39(16)

    2010

    Pages: 2942-2960

  • Capturing Flexible Heterogeneous Utility Curves: A Bayesian Spline Approach

    with J.G. Kim and F. Feinberg

    Management Science

    Issue:Vol. 53(2)

    2007

    Pages: pp. 340-354

  • Control Charts for the Generalized Variance Based on Its Predictive Distribution

    Communications in Statistics – Theory and Methods

    Issue:Vol. 36(5)

    2007

    Pages: pp. 1031-1038

  • Modeling Parametric Evolution in a Random Utility Framework

    with J. G. Kim and F. Feinberg

    Journal of Business & Economic Statistics

    Issue:Vol. 23(3)

    2005

    Pages: 282-294

  • Assessing Heterogeneity in Discrete Choice Models Using a Dirichlet Process Prior

    with J. G. Kim and F. Feinberg

    Review of Marketing Science

    Issue:2

    2004

    Pages: http://www.bepress.com/romsjournal/vol2/iss1/art1

  • Posterior Distributions for Functions of Variance Components

    with I. Guttman

    Test

    Issue:Vol. 12(1)

    2003

    Pages: 115-123

  • On the Evaluation of Control Chart Limits Based on Predictive Distributions

    Communications in Statistics - Theory and Methods

    Issue:Vol. 31(8)

    2002

    Pages: 1423-1440

  • Hierarchical Modeling With Gaussian Processes

    Communications in Statistics- Simulation and Computation

    Issue:Vol. 29(4)

    2000

    Pages: pp. 1089-1108

  • Estimation of the Correlation Among Destructively Measured Variables

    Communications in Statistics- Theory and Methods

    Issue:Vol. 26(1)

    1997

    Pages: pp. 181-195

  • Predictive Distributions in the Presence of Measurement Error

    with I. Guttman

    Probability in the Engineering and Informational Sciences

    Issue:Vol. 10

    1996

    Pages: pp. 601-611

  • On the Performance of the Gibbs Sampler for the Multivariate Normal Distribution

    Communications in Statistics- Theory and Methods

    Issue:Vol. 24(1)

    1995

    Pages: pp. 191-213

  • Prediction Based on Response Surface Data Obtained With Random Blocking

    with I. Guttman

    Test

    Issue:Vol. 3(2)

    1994

    Pages: pp. 87-99

  • Prediction of Warranty Costs During a Given Period of Time

    INFOR

    Issue:Vol. 31(3)

    1993

    Pages: pp. 127-135

  • Designing Accelerated Life Tests When There is Type II Censoring

    Communications in Statistics- Theory and Methods

    Issue:Vol. 21(9)

    1992

    Pages: pp. 2569-2590

  • On the Variance of Total Warranty Claims

    Communications in Statistics- Theory and Methods

    Issue:Vol. 21(3)

    1992

    Pages: pp. 779-790

Research and Teaching Interests

Primary teaching interests include survey and in-depth courses in Statistics, and Statistical Quality Control. Primary research interests centre on the extension of models and methodology in the areas of decision theory and quantitative analysis, in particular, models of a statistical and probabilistic nature, and their application to business situations. Currently working on statistical quality control and analysis of scanner data.

Honors and Awards

  • 2001, 2000, 1998, 1996, 1992, 1991

    Teaching Excellence Award, First-Year of the MBA Program,

  • 2001

    Roger Martin and Nancy Lang Award for Excellence in Teaching,

Academic / Professional Service

  • 1999-2005

    Speaker of Council of the Rotman School,

  • 1985-1992

    Area Coordinator, Operations Management and Statistics, School of Management, University of Toronto

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