http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Nonparametric estimation of optimal performance criteria in quality engineering
Box (1987) and Leon et al. (1987) discuss the problem of closeness to target in quality engineering. If the mean response f(x, z) depends on (x, z), the variance function is a PERMIA if it is g(z), i.e., depends only on z. The goal is to find (x sub 0, z sub 0) which minimizes variance while achieving a target mean value. We pose and answer the question: for given smoothness assumptions about f and g, how accurately can we estimate x sub 0 and z sub 0? As part of the investigation, we also find optimal rates of convergence for estimating f, g and their derivatives.
Includes bibliographical references (leaves 25-26).
Supported by the Air Force Office of Scientific Research
Performance measure independent of adjustment (PERMIA)
College Station, Texas : Department of Statistics, Texas A & M University, [1989]
Technical report (Texas A & M University. Department of Statistics) ; no. 8