Modeling and Simulation
Design
Analyses
Fabrication
Hybrid Vehicle Development
Control System Development
Vehicle and System Testing
Brake Systems
Suspension Systems
RF Anechoic Vehicle Evaluation
Open-Field Immunity Testing
Advanced Wear Technology
Applied Statistics
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SwRI Information
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Using regression techniques, SwRI developed a series of complex models to predict automobile emissions based on the properties of reformulated gasolines. The petroleum industry uses these models to produce gasolines that comply with the Clean Air Act. |
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Carefully planned experimental designs and sophisticated data analysis techniques are used at Southwest Research Institute (SwRI) for testing and evaluating vehicle components and systems.
Proper experiment design results in efficient tests that better quantify the relationships between variables. Using innovative analysis techniques, SwRI ensures the proper measurement of the experimental variation and of the relative effects of various factors. Services
offered include:
Experimental design
Data analysis
Statistical methodology application
Statistical process improvement
Regression and response surface modeling
Reliability and failure analysis
Sampling plan development
For more information about applied statistics capabilities at SwRI or how you can
contract with SwRI, please contact
Alan Montemayor at
amontemayor@swri.org or (210) 522-6940.
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Contact Information |
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Alan Montemayor
Vehicle Research & Development
210-522-6940
amontemayor@swri.org |
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Related Terminology |
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vehicle component design
component analysis
data analysis
component efficiency
vehicle performance
engine durability
experimental design
failure analysis
statistical methodology application
statistical process improvement
regression and response surface modeling
reliability and failure analysis
sampling plan development |
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Southwest Research Institute® (SwRI®), headquartered
in San Antonio, Texas, is a multidisciplinary, independent, nonprofit, applied
engineering and physical sciences research and development organization with 11
technical divisions.
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