Biography:Johannes Ledolter

Short description: American academic

Johannes Ledolter (d. Nov 5, 2023) was Professor of Business Analytics and of Statistics/Actuarial Science at the University of Iowa.  He also serves as Associate Investigator, Center for Prevention and Treatment of Visual Loss for the Iowa City VA Health Care System.  Dr. Ledolter received a MS in Social and Economic Statistics from the University of Vienna, an MS in Statistics from the University of Wisconsin-Madison, and a PhD in Statistics, also from the University of Wisconsin-Madison.  

Dr. Ledolter is the author of 10 books and more than 150 journal articles and chapters. He is a Fellow of the American Society for Quality and the American Statistical Association.  He is also an Elected Member of the International Statistics Institute. He served as Associate Editor of the Journal of Business and Economic Statistics, the Journal of the American Statistical Association, Quality Engineering, and the Journal of Forecasting. He is a Fulbright Scholar. He served as the Program Chair and local organizer of the NBER-NSF seminar on time series in both Iowa City and Vienna. He was the Program Chair of the 1992 Joint Statistical Meetings.  

Education

M.S., Statistics, University of Wisconsin-Madison, 1972

M.S., Social and Economic Statistics, University of Vienna, 1974

Ph.D., Statistics, University of Wisconsin-Madison, 1975

Teaching Experience and Honors

Ledolter taught beginning and advanced courses on statistical methods at the University of Iowa (Tippie College of Business and Department of Statistics/Actuarial Science), Vienna University of Economics and Business, Institute for Advanced Studies (Vienna), Stanford University, University of Chicago Booth School of Business, Yale University, and Princeton University.

Ledolter taught courses on Mathematical Statistics, Linear Models, Regression Analysis, Analysis and Design of Experiments I and II, Multivariate Statistical Techniques, Time Series Analysis I and II, Recent Topics in Time Series Analysis, Forecasting, Probability and Statistics for the Engineering and Physical Sciences, Biostatistics, Business Analytics for MBA, Advanced Business Analytics for MBA, Business Analytics for Executive MBA, Statistical Methods for Quality and Productivity Improvement, Statistical Methods (undergraduate) I and II, Applied Statistical Methods in Forestry and Environmental Studies, introductory and advanced courses on Statistical Methods (in German).

Consulting

Ledolter presented short courses for business and industry on Statistical Modeling, Time Series Analysis and Forecasting, Statistical Methods for Quality and Productivity Improvement, and Business Analytics and Data Mining.

Ledolter has consulted with US and European companies including Ford Motor Company, Procter and Gamble, Northstar Steel, HON IndustriesMeredith Publishing, Iowa Pork Producers, State of California, Ticona/Celanese, American Express, Bemis Corporation, Lenzing Fiber (Austria), Telekom Austria.,

Publications

Ledolter, J., Schebeck, F. and Thury, G.: Forecasting Using Leading Indicators: Some Empirical Evidence for Austria, Vandenhoeck and Ruprecht, Göttingen, 1981

Abraham, B. and Ledolter, J.: Statistical Methods for Forecasting, Wiley & Sons, 1983 (Second edition, 2005)

Hogg, R. V. and Ledolter, J.: Engineering Statistics, Macmillan, 1987

Hogg, R. V. and Ledolter, J.: Applied Statistics for Engineers and Physical Scientists, Macmillan, 1992

Ledolter, J. and Burrill, C. W.: Statistical Quality Control: Strategies and Tools for Continual Improvement, Wiley & Sons, 1999

Burrill, C. W. and Ledolter, J.: Achieving Quality Through Continual Improvement, Wiley & Sons, 1999

Abraham, B. and Ledolter, J.: Introduction to Regression Modeling, Duxbury Press, 2006

Ledolter, J. and Swersey, A.J.: Testing 1 – 2 – 3: Experimental Design with Applications in Marketing and Service Operations, Stanford University Press, 2007

Ledolter, J. and Hogg, R. V.: Applied Statistics for Engineers and Physical Scientists, Prentice Hall, 2009

Ledolter, J.: Data Mining and Business Analytics, Wiley & Sons, 2013

Ledolter, J. and VanderVelde, L.S.: Analyzing Textual Information: From Words to Meanings through Numbers, SAGE Publishing (Quantitative Applications in the Social Sciences), 2021.