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Daniel R. McCarville
Researcher at Motorola
Publications - 4
Citations - 379
Daniel R. McCarville is an academic researcher from Motorola. The author has contributed to research in topics: Test functions for optimization & Observational error. The author has an hindex of 3, co-authored 4 publications receiving 355 citations. Previous affiliations of Daniel R. McCarville include University of Arizona & Arizona State University.
Papers
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Journal ArticleDOI
Modified Desirability Functions for Multiple Response Optimization
TL;DR: Modified desirability functions that are everywhere differentiable are presented so that more efficient gradient-based optimization methods can be used instead of search methods to optimize the overall desIRability response.
Book
Student solutions manual : design and analysis of experiments, seventh edition
TL;DR: The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS, and new developments in robust design and factorial designs are added.
Journal ArticleDOI
Optimal Guard Bands for Gauges in Series
TL;DR: In many manufacturing settings, a series of gauges are used to screen product before it is shipped to the customer as mentioned in this paper, and a common problem is determining the number of measurements to be taken.
Journal ArticleDOI
A time series approach for compensating for errors in complex gauge systems
James D. Stanley,Daniel R. McCarville,Daniel R. McCarville,Daniel R. McCarville,Douglas C. Montgomery +4 more
TL;DR: In this paper, a time series model is used to represent non-independent structure in the time series of measurement bias errors, and adjustments to actual process measurements are then made based on the estimates of bias error from the model.