Webinar: Analyzing ALT Data by Dr. Rong Pan
September 10 @ 8:30 am - 11:30 am
$300
Analyzing ALT Data by Dr. Rong Pan
Join us for our next webinar! September 10, 2025 8:30-11:30 am Pacific time (California) Cost $300 per person Group discounts available! Please note, this webinar will be recorded. If the time is not convenient for you, this webinar recording link can be purchased to view at your leisure. Contact us for details.
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Course Description: Accelerated life testing (ALT) is a direct approach to obtaining product failure time information and is widely employed in the product development and reliability improvement process. Companies may use ALTs for multiple purposes, such as quantifying the failure time acceleration factor for specific environmental stress variables, validating a stress-lifetime relationship, and predicting some reliability measures under normal use conditions, etc. In this webinar, we will first give a thorough presentation of different ALT plans and the varying data forms generated from ALTs. In order to draw valid conclusions from ALT data, proper statistical analysis methods must be chosen. Therefore, we will study both lifetime distribution models and lifetime regression models and demonstrate their usefulness in ALT data analysis. We will show the impact of failure time censoring on distribution parameter estimation and how to select a good regression model from both the physics-of-failure and goodness-of-fit perspectives. This webinar will also provide hands-on exercises using JMP and R. All software codes and step-by-step instructions will be provided to attendees before the webinar.
Instructor: Dr. Rong Pan is Professor of Industrial Engineering and Data Science in the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU). He is the Program Chair of Data Science, Analytics, and Engineering (DSAE) program at ASU. His research interests include failure time data analysis, design of experiments, multivariate statistical process control, time series analysis, and computational Bayesian methods. His research has been supported by NSF, Arizona Science Foundation, Air Force Research Lab, etc. He has published over 90 journal papers and 50+ refereed conference papers. Dr. Pan is a senior member of ASQ, IIE, and IEEE, and a lifetime member of SRE. He currently serves as the Chair of ASQ Reliability and Risk Division and the Editor-elect of Journal of Quality Technology.
Cost $300 per person, if you have five or more the cost is $270 per person
Time 8:30 – 11:30 am Pacific (California)
After registering, you will receive a confirmation email containing information about joining the webinar. NOTE if you do not receive the confirmation email, please call us at 303-655-3051