At JMP, Laura Lancaster is responsible for platforms such as Measurement Systems Analysis, Variability, Process Capability and Distribution. Lancaster studied mathematical sciences with an emphasis in operations research and has a Ph.D. in management science from Clemson University. She completed her undergraduate work in mathematics and computer science at Stetson University.
Presentations
- Disallowed Combinations and Operating Region Optimization for CQAs with the JMP® 17 Profiler (2023-EU-30MP-1305)
- Finding Optimal Operating Regions for Critical Quality Attributes with the Design Space Profiler - (2023-US-30MP-1447)
- Recent Developments in JMP Quality and SPC (2022-US-30MP-1118)
- Controlling Extrapolation in the Prediction Profiler in JMP® Pro 16 (2021-EU-45MP-751)
- Controlling Extrapolation in the Prediction Profiler in JMP Pro 16 (2021-US-45MP-838)
- Recent Developments in JMP(R) Quality and SPC (2020-EU-45MP-306)
- Finding Optimal Operating Regions with the JMP Design Space Profiler and Simulator
- INTEGRATED PROCESS IMPROVEMENT USING THE SECOND-GENERATION QUALITY TOOLS IN JMP
- Determining the Right Sample Size for an MSA Study
- Slides from Integrated Process Improvement Using the Second-Generation Quality Tools in JMP®
- Slides and journal from the Integrated Process Improvement Using the Second-Generation Quality Tools in JMP® tutorial
- Data from the Integrated Process Improvement Using the Second-Generation Quality Tools in JMP® tutorial
- Query Builder: The New JMP® 12 Tool for Getting Your SQL Data Into JMP®
- Strictly Positive Estimates of Variance Components for Measurement Systems Analysis Models
- Exploring Measurement System Analysis Sample Size and the Power to Detect Production Process...