Application of Standard Gaussion Kernel Function on Kernel Estimators of the First Two Order Derivatives and Curvature of Probability Density Function
碩士 === 國立中央大學 === 數學研究所 === 98 === In this paper, we find that the standard Guassian kernel function can be applied easily to construct the asymptotic unbiasedness of kernel estimators of the first two order derivatives of probability density function. we also find the central limit theorems for the...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/38211212978340093429 |