【摘 要】
：
In a basic multiple regression model, the basic assumption is that the contribution of each of the model terms is strictly linear.In many cases, this may be an excessive simplification of the complex
【机 构】
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School of Health Sciences, FI-33014 University of Tampere, Finland
【出 处】
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The Third IMS-China International Conference on Statistics a
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In a basic multiple regression model, the basic assumption is that the contribution of each of the model terms is strictly linear.In many cases, this may be an excessive simplification of the complex relationships between the explanatory variables and the response variable.If some nice parametric function of the explanatory variables can be a ssumed, this relation can be easily tested.
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