AM  Vol.5 No.13 , July 2014
Wavelet Density Estimation of Censoring Data and Evaluate of Mean Integral Square Error with Convergence Ratio and Empirical Distribution of Given Estimator
Author(s) Mahmoud Afshari*
Affiliation(s)
Department of Statistics, College of Science, Persian Gulf University, Bushehr, Iran.
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.
Keywords
Wavelet Estimation, Censoring, Mean Integral Error, Convergence

Cite this paper
Afshari, M. (2014) Wavelet Density Estimation of Censoring Data and Evaluate of Mean Integral Square Error with Convergence Ratio and Empirical Distribution of Given Estimator. Applied Mathematics, 5, 2062-2072. doi: 10.4236/am.2014.513200.
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