ZHANG Shuanglin, . Strong Consistency of Kernel Regression Function Estimation for Randomly Missing Data[J]. Chinese Journal of Applied Probability and Statistics, 1997, 13(2): 204-210.
Citation: ZHANG Shuanglin, . Strong Consistency of Kernel Regression Function Estimation for Randomly Missing Data[J]. Chinese Journal of Applied Probability and Statistics, 1997, 13(2): 204-210.
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Strong Consistency of Kernel Regression Function Estimation for Randomly Missing Data

  • Beijing University, Beijing, 100871

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Natural Science Founfation of Heilongjiang Province

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  • Received Date: May 15, 1996
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    • Abstract
  • The strong consistencies of kernel estimates of a regression function are shown for incomplete sample. Here incomplete sample means that some sample points are missing according to a random missing mechanism operated on the obervation vectors.
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