Fitting Segmented Regression Models by Grid Search
描述了一种用网格搜索拟合未知转折点分段回归曲线的方法，并与标准方法比较，适用于更广泛的模型，还能对转折点横坐标进行可靠推断。
SUMMARY A grid-search method of fitting segmented regression curves with unknown transition points is described and compared with a standard method. It is shown to be suitable for fitting a wider class of models than the standard method and to provide as a by-product a way of making reliable inferences about the abscissae of the transitions.