Sample size Limitations of Reliability Demonstration and How to Address them

Andre Kleyner
Andre Kleyner has over 25 years of engineering, research, consulting, and managerial experience specializing in reliability of electronic and mechanical systems designed to operate in severe environments. He received the doctorate in Mechanical Engineering from University of Maryland, and Master of Business Administration from Ball State University. Dr. Kleyner is a Global Reliability Engineering ...read more



Details

First half of this webinar will cover the three basic methods of reliability demonstration and how they are affected by the test sample size. Large sample sizes are required when high reliability (98% and higher) is pursued. The second half of this webinar will cover several methods of overcoming these limitations and will discuss how to demonstrate higher reliability with manageable test sample sizes.

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