A SIMPLE DYNAMIC GRAPHICAL DIAGNOSTIC METHOD FOR ALMOST ANY MODEL
成果类型：
Article
署名作者：
EASTON, GS
刊物名称：
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
ISSN/ISSBN：
0162-1459
DOI：
10.2307/2291216
发表日期：
1994
页码：
201-207
关键词：
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 iteratively. When an interesting new fit is found, the controller can be recentered and exploration continued around the new fit. The technique integrates easily with other dynamic graphical techniques, such as brushing and the use of sliders the dynamic graphical technique is developed in this article primarily in the context of multiple linear regression. An example of the application of the technique to the Brownlee stack loss data set is presented and compared to the extensive analysis given by Daniel and Wood. The method can also easily be extended to other fitting procedures, such as nonlinear regression.
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