Teaching Areas:

• Information Systems
• Statistics

• Quantitative Methods/Modeling

Education:

• Ph.D. Statistics, The University of Alabama
• M.S. Statistics, The University of Alabama
• MBA, University of Alabama at Birmingham
• MMIS, Georgia College & State University
• B.S. Finance, University of Alabama at Birmingham
• B.S. Quantitative Methods, University of Alabama at Birmingham

Research Interests:

• Statistical Process Control
• Applied Statistics & Research Methodology
• Quantitative Methods
• Information Systems & Technology
• Distance Learning

Publications, Areas of Research & Working Papers:

• Efficient XML and HTML Compression Schemes
• The Impact of Forecast Recovery for Control Charts Applied to Various ARMA Processes.
• A Mathematical Description of the Impact of Forecast Recovery for AR(2) Processes.
• The Reverse Moving Average Control Chart & Comparisons of Forecast Based Monitoring Schemes.
• Design and Evaluation of the Reverse Moving Average Control Chart.
• Randomness Diagnostics & Runs Rules Applied to Forecast Based Monitoring Schemes.
• Design and Evaluation of the Multivariate Reverse Moving Average Control Chart.
• Design and Evaluation of the Combined T2-MEWMA Control Chart.
• Evaluation of Multivariate Forecast Based Monitoring Schemes.
• Control Chart Evaluation Using the Median Run Length and Quickest Signal Criteria.
• The Effect of Model & Parameter Misspecification on the Performance of Control Charts Applied to Forecast Based Monitoring Schemes.
• An Overview of Retrospective SPC.
• Using the Minimized Integrated Square Error (L2E) Estimator for Phase 1 Univariate Control Charting.
• Using the Minimized Integrated Square Error (L2E) Estimator and Angles for Phase 1 Multivariate Control Charting.
• The Minimized Integrated Square Error (L2E) Control Chart for Process Mean and Variability.
• The Minimized Integrated Square Error (L2E) Control Chart for Multivariate Process Mean and Covariance.
• Estimating Portfolio Confidence Intervals for Commercial Mortgage Backed Securities.
• The Portfolio Risk & Return Plot.
• The Chi-Square Approximated Gamma Test For Overall Significance.
• The Design and Evaluation of a Technology Infused Distance Learning Statistics Course.
• Teaching Tidbits: Using Excel to Explore the Shortest Distance Confidence Interval.
• Teaching Tidbits: Using Excel to Explore the Robustness of misapplying the t-Distribution.

The content of personal and other unofficial home pages is not sanctioned by Georgia Southern University and does not represent official information or opinions of the University.  Dr. John N. Dyer is solely responsible for the contents of this page.

Last updated:  18 August 2003