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Kerkyacharian, G. and Picard, D. (1993) Density Estimation Bykernel and Probability. McGraw-Hill Science, New York, 327-336.

has been cited by the following article:

• TITLE: Wavelet Density Estimation of Censoring Data and Evaluate of Mean Integral Square Error with Convergence Ratio and Empirical Distribution of Given Estimator

  AUTHORS: Mahmoud Afshari

  KEYWORDS: Wavelet Estimation, Censoring, Mean Integral Error, Convergence

  JOURNAL NAME: Applied Mathematics, Vol.5 No.13, July 22, 2014

  ABSTRACT: Wavelet has rapid development in the current mathematics new areas. It also has a double meaning of theory and application. In signal and image compression, signal analysis, engineering technology has a wide range of applications. In this paper, we use wavelet method, for estimating the density function for censoring data. We evaluate the mean integrated squared error, convergence ratio of given estimator. Also, we obtain empirical distribution of given estimator and verify the conclusion by two simulation examples.