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On the Approximation of Maximum Deviation Spline Estimation of the Probability Density Gaussian Process

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DOI: 10.4236/ojs.2015.54034    2,233 Downloads   2,556 Views   Citations

ABSTRACT

In the paper, the deviation of the spline estimator for the unknown probability density is approximated with the Gauss process. It is also found zeros for the infimum of variance of the derivation from the approximating process.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Muminov, M. and Soatov, K. (2015) On the Approximation of Maximum Deviation Spline Estimation of the Probability Density Gaussian Process. Open Journal of Statistics, 5, 334-339. doi: 10.4236/ojs.2015.54034.

References

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http://dx.doi.org/10.4236/ojs.2011.13019
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[8] Muminov, M.S. (2010) On Approximation of the Probability of the Large Outlier of Nonstationary Gauss Process. Siberian Mathematical Journal, 51, 144-161.
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