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空间数据KRIGING估计的小波方法及应用 被引量:1

Wavalets Metheod and its Application to Estimating the KRIGING Prediction
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摘要 本文利用小波方法处理空间数据模型.通过小波对模型的分解,进而利用MEYER小被作最佳空间线性预测KRIGING估计,并用二维小波就全球卫星臭氧数据作了拟合,证实了其实用性. This paper draws into wavelet to consider the model on spatial data. The optimal linear prediction on spatial data--KRIGING estimate is given through the decomposition of the spatial model by meyer wavelet. And we imitate the ozone data of the world by two dimension wavelet. It proved practical.
作者 陈励 王学仁
出处 《应用概率统计》 CSCD 北大核心 2002年第1期8-12,共5页 Chinese Journal of Applied Probability and Statistics
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参考文献5

  • 1[1]N.C. Crcssie, Statistics for Spatial Data, USA: John Wiley and Sons, 1991.
  • 2[2]C.K. Chui, Introduction to Wavelets Academic Press, Boston, 1992.
  • 3[3]D.L. Donoho and I.M. Johnstone, Ideal spatial adaptation by wavelet shrinkage, Technical Report. Department of Statistics, Stanford University, 1992.
  • 4[4]G.G. Walter, Wavelets and other Orthogonal Systems with Applications, USA: John Wiley and Sons, 1995.
  • 5[5]D.L. Donoho, De-noising via soft-thresholding, Technical Report, Department of Statistics, Stanford University, 1992.

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