We apply the b - spline smoothed rejection sampling method to importance sampling . numerical experiments show that the error size o ( n - 1 ) is regained by using the b - spline smoothed rejection method for quasi - monte carlo estimate . the error bound of monte carlo method using b - spline smoothed importance sampling is also better than that of the standard monte carlo method 将b样条光滑拒绝方法用于重要抽样估计，数值例子显示拟蒙特卡罗积分的精度重新达到了o ( n ~ ( - 1 ) )的阶，而对于蒙特卡罗积分，采用b样条光滑重要抽样，其精度也比标准积分的精度o ( n ~ ( - 2 / 1 ) )好。
