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Cites:

Information Journal Paper

Title

WAVELET BASED ESTIMATION OF THE DERIVATIVES OF A DENSITY FOR M-DEPENDENT RANDOM VARIABLES

Pages

  97-105

Abstract

 Here, we propose a method of estimation of the derivatives of probability density based WAVELETS methods for a sequence of m−dependent random variables with a common one-dimensional probability density function and obtain an upper bound on Lp-losses for the such estimators.

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  • Cite

    APA: Copy

    CHAUBEY, Y.P., & DOUSTI, H.. (2005). WAVELET BASED ESTIMATION OF THE DERIVATIVES OF A DENSITY FOR M-DEPENDENT RANDOM VARIABLES. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), 4(2), 97-105. SID. https://sid.ir/paper/117864/en

    Vancouver: Copy

    CHAUBEY Y.P., DOUSTI H.. WAVELET BASED ESTIMATION OF THE DERIVATIVES OF A DENSITY FOR M-DEPENDENT RANDOM VARIABLES. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS)[Internet]. 2005;4(2):97-105. Available from: https://sid.ir/paper/117864/en

    IEEE: Copy

    Y.P. CHAUBEY, and H. DOUSTI, “WAVELET BASED ESTIMATION OF THE DERIVATIVES OF A DENSITY FOR M-DEPENDENT RANDOM VARIABLES,” JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), vol. 4, no. 2, pp. 97–105, 2005, [Online]. Available: https://sid.ir/paper/117864/en

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