46、滑动窗口插补法与退化双非线性抛物方程解的行为研究

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最新推荐文章于 2025-11-01 15:31:13 发布

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分类专栏：智能系统与计算前沿文章标签：滑动窗口插补法右删失数据退化双非线性抛物方程

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滑动窗口插补法与退化双非线性抛物方程解的行为研究

1. 滑动窗口插补法（SWPM）

在处理右删失数据时，滑动窗口插补法（SWPM）是一种有效的方法。以下是SWPM插补右删失数据的算法：

Algorithm 5. SWPM imputation for right-censored data
Input: Right-censored data points ti with, Corresponding δi = I(xi < ci), Values of
predictor variable vi, window size parameter w
Output: Imputed dataset ˆxsw = (xsw1, xsw2, ..., xsw nc)T
1: begin
2: for (i = 1 to n) do
3:    if (δi = 1) do (Obtained the uncensored part of the data)
4:        obtain ti with t∗i = ti
5:        obtain t∗i with t∗i = ti
6: end
7: Determine the number of windows (nw) with (n − w + 1)
8: for (j = 1 to nw) do
9:        Estimate the β∗r for jth window
10:        obtain the ﬁtted values for the jth window by ˆxsw j = vj ˆβr
11: end
12: for (j = 1