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作者：EASTON, GS
摘要：This article describes a simple dynamic graphical diagnostic method that can be used to explore fits to almost any parametric model. The technique is based on viewing diagnostic plots while fits in a neighborhood of a parametric fit are dynamically explored using an intuitively appealing and easy-to-use two-dimensional controller. The motivation for the controller comes from the 2p-factorial designs used in response surface analysis. As with response surface analysis, exploration can proceed i...
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作者：GIANI, G; STRASSBURGER, K
摘要：The problem of equivalence assessment of several treatments with a control is considered. The first approach uses a hypothesis testing formulation in which the alternative states global equivalence. With respect to a family of distributions with location parameter, a test based on a two-sided many-one statistic is proposed. Least favorable parameter configuration results are presented as being necessary to evaluate critical values and to determine sample sizes implied by certain power requirem...
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作者：POLI, I; JONES, RD
作者单位：United States Department of Energy (DOE); Los Alamos National Laboratory
摘要：In this article we introduce a neural net designed for nonlinear statistical prediction. The net is based on a stochastic model featuring a multilayer feedforward architecture with random connections between units and noisy response functions. A Bayesian inferential procedure for this model, based on the Kalman filter, is derived. The resulting learning algorithm generalizes the so-called one-dimensional Newton method, an updating algorithm currently popular in the neural net literature. A num...
