In particular, when regression functions are linear, these sets become hyperplanes in explanatory variables Spaces.
特别地，当回归函数线性时，这类集合就是解释变量空间中的超平面。
The method is based on analytical results characterizing the solutions to a class of optimization problems that determine support hyperplanes of the response set.
在此基础上，利用凸集的性质提出了一种求解响应集的支撑超平面法，它是利用响应集的支撑超平面将问题转化为求解一类优化问题的解。
Distributions of the first hitting place and first hitting time for a conditioned Brownian motion to a hyperplane as well as its maximum excursions before hitting the hyperplanes are given.
给出了一类条件布朗运动关于超平面的首中位置与首中时间的分布，也给出了在首中超平面之前条件布朗运动的极大游程的分布。
Distributions of the first hitting place and first hitting time for a conditioned Brownian motion to a hyperplane as well as its maximum excursions before hitting the hyperplanes are given.
给出了一类条件布朗运动关于超平面的首中位置与首中时间的分布，也给出了在首中超平面之前条件布朗运动的极大游程的分布。
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