Pre-Conference Short Course

An Introduction to Generalized Linear Models
Instructor:  Geoff Vining, Virginia Tech

The Generalized Linear Model (GLM) is an important analysis tool for data well modeled by a large number of families of distributions. Specifically, GLM uses maximum likelihood estimation for any member of the exponential family of distributions. Ordinary least squares estimation for normally distributed data, logistic regression for binomial data, and Poisson regression are all special cases of GLM. This course assumes some basic familiarity with ordinary least squares estimation.  It starts with an introduction to logistic regression, emphasizing the use of maximum likelihood estimation. The course next discusses Poisson regression. It then generalizes maximum likelihood estimation to any member of the exponential family, with particular emphasis on the gamma distribution, which is often important for reliability data. The course discusses such issues as residual analysis within GLM, choice of link function, and overdispersion. Examples from several different fields are used to illustrate each methodology. The course uses both MINITAB and SAS’s PROC GENMOD.

The course is based on the recent textbook Generalized Linear Models by R.H. Myers, D.C. Montgomery, and G.G. Vining, John Wiley & Sons, 2002.

2002 Quality & Productivity Research Conference

Program

Conference Theme: Quality of Design for Products and Processes

Tuesday, 4 June

Wednesday, 5 June

Note: The Arizona, California, and "States" rooms are off the hotel lobby. The Tempe Room is in the adjacent conference center.

Thursday, 6 June

Friday, 7 June

Invited Paper Sessions

1.  Experimental Design
Session Organizer: Tim Robinson, University of Wyoming
Session Chair: Tim Robinson, University of Wyoming

1. "Optimal and Efficient Experimental Designs for GLM's",
   Jennifer Huffman Van Mullekom, Statistics and Intelligent Systems, The Lubrizol Corporation

2. "The Analysis of Unreplicated Industrial Split-Plot Experiments",
   Shaun S. Wulff, University of Wyoming

3. "Design Tradeoff's in Scientific Experiments",
   Joanne R. Wendelberger and Leslie M. Moore, Statistical Sciences Group, Los Alamos National Laboratory
   

2.  Advanced Process Control

Session Organizer:  David Drain, Intel
Session Chair: David Drain, Intel

1. "Process-orient SPC and Capability Calculations"
   Russell R. Barton, Professor, Management Science and Information Systems, the Smeal College of Business, Pennsylvania State University. George Runger, Professor, Industrial Engineering, Arizona State University, Enrique del Castillo, Amanda Schmitt and Earnest Foster.

2. "The Monitoring of Linear Profiles and Regression-Adjusted Variables"
   Keun Pyo Kim, Mahmoud A. Mahmoud, and William H. Woodall, Professor, Department of Statistics, Virginia Tech

3.  Quality Improvement in Health Care

Session Organizer: Elvira Loredo, RAND Corporation
Session Chair: Elvira Loredo, RAND Corporation

1. "Understanding the Organizational Structure--Process of care--Health Outcome Relationships in Health & Services Delivery: A Key Step Toward Quality Improvement"
   John Adams, Honghu Liu, Cheryl Damberg, Wen-Pin Chen, Susan L. Ettner, and Katherine Kahn, RAND Corporation

2. "A complexity Science Perspective on Medical Errors",
   Kevin Dooley, Arizona State University
   

4.  Transactional Quality for Financial and Service Systems

Session Organizer: Frederick W. Faltin, Quantitative Management Consulting
Session Chair: Cheryl Jennings, Motorola SPS

1. "Portfolio Optimization and Control Process for Pricing"
   Margaret Trench, Senior Vice President, Bank One Corporation

2. "Maximizing the Impact of Transactional Six Sigma"
   Frederick W. Faltin, Quantitative Management Consulting
   

5.  Split-Plot Experiments in Industry

Session Organizer: John Brewster, University of Manitoba
Session Chair: John Brewster, University of Manitoba

1. "Design and Analysis Issues in Blocked Fractional Factorial Split-Plot Experiments",   
   Robert McLeod, Department of Statistics, University of Manitoba

2. "Lack-of-Fit Test for Industrial Split-Plot Experiments",
   Geoff Vining, Department of Statistics, Virginia Tech

3. "The Application of Plackett and Burman Designs to Split Plot Experiments",
   Murat Kulahci, Department of Industrial Engineering, Arizona State University, and Soren Bisgaard, University of Amsterdam
   

6.  Life Sciences Application of Quality Improvement Methodology

Session Organizer: Geetha Rajavelu, Motorola Life Sciences
Session Chair: Carl Aspin, Motorola Life Sciences

1. "Bioinformatic Challenges of Expression Microarray Analysis",
   Rich Shippy, Motorola Life Sciences

2. "Analysis of SNP Genotyping Studies",
   Gretchen Kiser & Geetha Rajavelu, Motorola Life Sciences

3. "Application of DOE Methodology to SNP Assay Development",
   Geetha Rajavelu & Gretchen Kiser, Motorola Life Sciences
   

7.  The Theory and Practice of Applying Six Sigma to Business Processes

Session Organizer: Roger Hoerl, General Electric
Session Chair: Roger Hoerl, General Electric

1. "Improving Business Processes with Six Sigma",
   Soren Bisgaard (SBTI), Roger Hoerl, General Electric and Ron Snee, Tunnell Consulting

2. "A Six Sigma Approach to Predicting Corporate Defaults",
   Radu Neagu, General Electric
   

8.  Real Issues Surrounding Process Capability Studies

Session Organizers:   Brian Macpherson and Smiley Cheng, Department of Statistics, University of Manitoba
Session Chair: Brian Macpherson, University of Manitoba

1. "Assessing Process Capability: A User's View",
   Fred Spiring* and Smiley Cheng, Department of Statistics, University of Manitoba and Pollard Banknote Ltd., Winnipeg, MB, Canada
   * Presenter

2. "Quality Improvement Using Plots Based on Process Capability Indices",
   Kerstin Vännman, Division of Quality Technology & Statistics, Luléa, Sweden

3. "Why Do Our Indices Differ? (The Devil's in the Details)",
   Norma Hubele* and Lora Zimmer, Department of Industrial Engineering, Arizona State University, Tempe, AZ, U.S.A.
   *Presenter
   

9.  Non-Manufacturing Applications of DOE

Session Organizer: Shari Kraber, Stat-Ease, Inc.
Session Chair: Pat Whitcomb, Stat-Ease, Inc.

1. "Optimizing Shipping Times Using Fractional Factorial Designs",
   Steven Walfish, Human Genome Sciences

2. "A Non-Conventional Application of Statistical Thinking",
   Van Bowen, Applied Business Technologies, and Francisco Chinchilla

10.  Quality in Education

Session Organizer:  Teri Rhoads, School of Industrial Engineering, The University of Oklahoma
Session Chair: Teri Rhoads, School of Industrial Engineering, The University of Oklahoma

1. "Proportional Hazards Models of Graduation",
   Justin R. Chimka, School of Industrial Engineering, The University of Oklahoma

2. "Modeling for Educational Enhancement and Assessment in Engineering: What Works, What Doesn't and Why",
   Mary Besterfield-Sacre, Department of Industrial Engineering, The University of Pittsburgh
   

11.  Measurement Systems Capability Analysis

Session Organizer: Connie M. Borror, Arizona State University
Session Chair: Connie M. Borror, Arizona State University

1. "Recent Extensions in Gauge Capability Studies",
   Richard Burdick, Arizona State University

2. "Comparing Sources of Variability in Measurement Systems",
   Andy Chiang
   

12.  Graphical Methods for Planning and Analyzing Designed Experiments

Session Organizer: Don R. Holcomb, Honeywell, Inc.
Session Chair: Don R. Holcomb, Honeywell, Inc.

1. "Some Graphical Tools for Designing and Analyzing Experiments",
   Russell R. Barton, Professor, Management Science and Information Systems, The Smeal College of Business, The Pennsylvania State University, University Park, PA

2. "Design Experiments Using Decision Trees",
   James W. Wisnowski*, Department of Mathematical Sciences, US Air Force Academy, George C. Runger, Department of Industrial Engineering, Arizona State University, and Douglas C. Montgomery, Department of Industrial Engineering, Arizona State University
   *Presenter
   
    

13.  Invited Student Paper Session I

Session Organizer: John S. Ramberg, Systems and Industrial Engineering, University of Arizona
Session Chair: Douglas C. Montgomery, Arizona State University

1. "Juran, Pareto & Zipf on Quality of Design",
   Manoj Sharma, MS Candidate (Industrial Engineering), University of Arizona and John S. Ramberg, Systems and Industrial Engineering, University of Arizona

2. "Achieving Customer Defined Quality",
   Amit V. Deokar M.S. Candidate (Industrial Engineering),  University of Arizona and John S. Ramberg, Professor of Systems and Industrial Engineering Department, University of Arizona

3. "Statistical Thinking in Systems Thought and Mental Models",
   Vinay Kulkarni, MS Candidate (Industrial Engineering), University of Arizona, and John S. Ramberg, Professor of Systems and Industrial Engineering Department, University of Arizona
   

14.  Statistical Methodology for Early Detection

Session Organizer: Galit Shmueli, Department of Statistics, Carnegie-Mellon University
Session Chair : David Drain, Intel

1. "Early Detection of Reliability Problems Using Information Warranty Databases",
   Huaiging Wu and William Meeker, Department of Statistics, Iowa State University

2. "Statistical Process Control Techniques for Computer Intrusion Detection",
   Nong Ye, Department of Industrial Engineering, Arizona State University

3. "Early Statistical Detection of Bio-Terrorism Attacks by Tracking OTC Medication",
   Galit Shmueli, Department of Statistics, Carnegie-Mellon University
   

15.  Invited Student Paper Session II

Session Organizers: George C. Runger and Richard K. Burdick, Arizona State University
Session Chairman: Douglas C. Montgomery, Arizona State University

1. "Specific Signal Detection Charts Using Generalized Likelihood Ratios",
   George C. Runger and Murat C. Testik, Department of Industrial Engineering, Arizona State University, Tempe, AZ

2. "A Confidence Interval for an Alternative Measure of Measurement System Adequacy",
   Eric Gelvin, MS Statistics Program, Arizona State University, and Intel Corporation

3. "Using Confidence Intervals to Compare Process Capability Indices",
   Lorraine Daniels, Arizona State University, Byron Edgar (Presenter), Scientific Monitoring, Inc. Tempe, AZ, Richard K. Burdick, Arizona State University and Norma Hubele, Arizona State University

4. "Process Monitoring for Multivariate Poisson Data",
   Katina R. Skinner and George C. Runger, Department of Industrial Engineering, Arizona State University

Contributed Papers

Contributed Paper Session 1

"Controlling Non-Homogeneous Multistream Binomial Processes with a Chi-Squared Control Chart",
Dr. Peter Wludyka, Department of Mathematics and Statistics, University of North Florida

"Control Chart for np in the Presence of Overdispersion",
Gustavo Ramírez Valverde and Benito Ramírez Valverde, Colegio de postgradados, Mexico, Technológico de Monterrey, Campus Estado de México

"Testing the Assumptions of Variable Control Charts and an Application in the Food Industry",
Berna Yazici

Contributed Paper Session 2

"SIGMA for Relocation Service Delivery",
Ken Ramaley, Prudential

"Six Sigma at Ford Motor Company",
Mayez Gebrael and H. Sam Hamade, Ford Motor Company

"DMAIC for Inventory Reduction - TAPS",
Manoj Ganesham, MS Candidate in Reliability and Quality Engineering, Systems and Industrial Engineering, University of Arizona

"Using Supplier Capability (Cpm) to Predict Turbocharger Assembly Yields",
Bill Denniston, Honeywell, Inc.

Contributed Paper Session 3

"CUSORE Charts for Detecting Sine Wave Signals in an Autocorrelated Process",
Yongmin Yu, Ph.D. student, Mcmaster University, Canada

"Managing Set-up Variation and Short Production Runs",
Brian Macpherson, University of Manitoba, and Thomas Bingham, The Boeing Company

"Integrating (EPC) and (SPC) for effective (APC)",
Mani Janakiram, Intel Corporation; Doug Montgomery, Arizona State University; and J. Bert Keats, Arizona State University

"Charting Multiple Part or Process Characteristics",
Kent Kuiper, The Boeing Company

Contributed Paper Session 4

"Expected Outgoing Quality",
Dan K. Fitzsimmons, The Boeing Company

"Improvement of Quality and Productivity in Warehousing",
Prem Y. Borse and Dr. Canan Bilen, Department of Industrial and Manufacturing Engineering, North Dakota State University

"Importance of Nuisance Parameters Consideration in Chemical Experiments: A Case Study",
Alex Korenev and Stella Stolin-Roditi, Indigo Israel

" Explorative use of statistical methods: A case study on statistical evaluation of the particle size distribution",
Heli Rita, ORION PHARMA, Espoo, Finland

Contributed Paper Session 5

"Systems Engineering: What Quality Enginees Should Know",
Christine Bartley Sims, University of Arizona

"Adaptation of Process Centered Productivity Measurement into D-M-A-I-C Framework",
Nihar Ranjan Senapati, M.S. Candidate in Reliability and Quality Engineering, Systems and Industrial Engineering, University of Arizona

"Why Parameter Optimization Is Crucial in Designing and Running a Quality Process",
George Zeliger, Anvical-Simplex

"Service Quality Control using Bayesian Networks",
B.M. Colosimo and Q. Semeraro, Dipartimento di Meccanica - Politecnico di Milano, V. Bonardi, 9, 20133 Milano Italy

"Can Loss Functions be Applied in Industry?"
Amit V, Deokav and John S.Ramberg, University of Arizona

Contributed Paper Session 6

"New Measures for Assessing the Desirability of Designs using Scaled Predicted Variance",
Christine Anderson-Cook*, Alyaa Zahran and Raymond H. Myers, Department of Statistics

"Possible Roles of Optimization in the Future of Experimental Planning",
Theodore T. Allen and Mikhail Bernshteyn, Ohio State University

" A Multiresponse Design Criterion for the Techniques of Simultaneous Optimization",
Shu Yamada (Presenter), Department of Management Science, Tokyo University of Science and Dennis Lin, Department of Management Science and Information Systems, The Pennsylvania State University

"A Bayesian Reliability Approach to Multiple Response Surface Optimization",
John Peterson, Statistical Sciences Group, GlaxoSmithKline Pharmaceuticals, R&D and Guillermo Miro Quesada and Enrique del Castillo, Department of Industrial and Manufacturing Engineering, The Pennsylvania State University

Contributed Paper Session 7

"Combining Taguchi Methodology with Evolutionary Operation to Improve Optimal Design Settings"
Dr. Prapaisri Sudasna-na-Ayudthya, Department of Industrial Engineering, Kasetsart University, Bangkok, THAILAND 10903

"Using Designed Computer Experiments to Identify Important Factors in the Design of a Turbine Engine",
Don R. Holcomb, Honeywell, Inc. Phoenix, AZ

"Supersaturated and Other Nontraditional Experimental Designs using Genetic Algorithms",
Alejandro Heredia-Langner, Pacific Northwest Laboratory

"k-Circulant Supersaturated Designs",
Yufeng Liu and Angela Dean, Department of Statistics, Ohio State University

Contributed Paper Session 8

"Workshop on Assessing to the Baldrige Criteria"
Cheryl L. Jennings, Motorola SPS

Tutorial Sessions

"What do You Want to Know About Data Mining?",
George C. Runger, Arizona State University

"Self-Organizing Map Models for Statistical Data Analysis",
Jennie Se, Arizona State University

"PID Controller Tuning via Internal Model Control: A Modern Approach",
Daniel E. Rivera, Arizona State University