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Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

1996

Statistics and Probability

Missouri University of Science and Technology

Multivariate Loss Function

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Full-Text Articles in Physical Sciences and Mathematics

Applications Of The Upside-Down Normal Loss Function, David Drain, A. M. Gough Jan 1996

Applications Of The Upside-Down Normal Loss Function, David Drain, A. M. Gough

Mathematics and Statistics Faculty Research & Creative Works

The upside-down normal loss function (UDNLF) is a weighted loss function that has accurately modeled losses in a product engineering context. The function''s scale parameter can be adjusted to account for the actual percentage of material failing to work at specification limits. Use of the function along with process history allows the prediction of expected loss-the average loss one would expect over a long period of stable process operation. Theory has been developed for the multivariate loss function (MUDNLF), which can be applied to optimize a process with many parameters-a situation in which engineering intuition is often ineffective. Computational formulae …