基于R语言实现的线性样条+B样条+N-W核估计+最近邻估计+局部多项式【有数据+有代码+有图】

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用于函数估计的非参数方法大致上有三种:核方法、局部多项式方法、样条方法。 非参的函数估计的优点在于稳健,对模型没有什么特定的假设,只是认为函数光滑,避免了模型选择带来的风险;但是,表达式复杂,难以解释,计算量大是非参的一个很大的毛病。所以说使用非参有风险,选择需谨慎。 写论文时整理的,

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