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

Mahmoud Afshari

Department of Statistics, College of Science, Persian Gulf University, Bushehr, Iran.

DOI: 10.4236/am.2014.513200                

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

Conflicts of Interest

The authors declare no conflicts of interest.

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