Sensitivity Testing and Analysis Course

Instructor: Dr. Barry T. Neyer

The Sensitivity Testing and Analysis Course is an explanation of the test and analysis methods used in conducting sensitivity tests (such as the Neyer D-Optimal test, Langlie test, and Bruceton test). The class covers:

Sensitivity tests are often used to estimate the parameters associated with latent continuous variables which cannot be measured. For example, each explosive specimen has a threshold. The specimen will detonate if and only if an applied shock exceeds this value. Since there is no way to determine the threshold of an individual, specimens are tested at various levels to determine parameters of the population. A new test described here produces efficient estimates of the parameters of the distribution, even with limited prior knowledge. This test efficiently characterizes the entire distribution and desired percentiles of any population.

Sensitivity test methods are used to study a wide range of phenomena, including:

The course covers both the basic theory and practical aspects of testing and analysis. Upon completion of this course, the students will be able to use software to conduct and analyze a wide variety of sensitivity tests, and should be able to understand and explain the results of the analysis.

This is a comprehensive course; for all technicians, professionals, and managers in development, production, quality, or test organizations who design, build, or test components that are destructively tested.

The class is given either on-site at your company, or in conjunction with conferences.

Sensitivity Course Outline:

  1. What is a sensitivity test?
  2. Review of Statistics for Normal Distribution
  3. Sensitivity test statistics
  4. Efficient sensitivity testing
  5. How to use the software for testing
  6. How to use the software for analysis
  7. Special Topics
  8. Test (Optional)

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