As a mathematical model for determining the probable number of outcomes, the new Poisson Distribution tables have long been an easier tool to use for reliability analyses
As a mathematical model for determining the probable number of outcomes, the new Poisson Distribution tables have long been an easier tool to use for reliability analyses
The Poisson distribution tables have become a standard tool for reliability analyses. Quality professional, inventor, and consultant John J. Heldt makes the Poisson table even more useful bycreating two new tables (available only in this book) with the Poisson terms rearranged for ease of estimation. Quality Sampling and Reliability: New Uses for the Poisson Distribution simplifies the steps involved with reliability testing, Mean Time Between Failure (MTBF) assessment, advantages and risks involved in reliability life testing, and an example of methodology for tracking the MTBF for products in the field.
The Poisson distribution tables have become a standard tool for reliability analyses. Quality professional, inventor, and consultant John J. Heldt makes the Poisson table even more useful bycreating two new tables (available only in this book) with the Poisson terms rearranged for ease of estimation. Quality Sampling and Reliability: New Uses for the Poisson Distribution simplifies the steps involved with reliability testing, Mean Time Between Failure (MTBF) assessment, advantages and risks involved in reliability life testing, and an example of methodology for tracking the MTBF for products in the field.
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