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Information Journal Paper

Title

WAVELETS FOR NONPARAMETRIC STOCHASTIC REGRESSION WITH PAIRWISE NEGATIVE QUADRANT DEPENDENT RANDOM VARIABLES

Pages

  255-259

Abstract

 We propose a wavelet based stochastic regression function estimator for the estimation of the regression function for a sequence of PAIRWISE NEGATIVE QUADRANT DEPENDENT random variables with a common one-dimensional probability density function. Some asymptotic properties of the proposed estimator are investigated. It is found that the estimators have similar properties to their counterparts studied earlier in literature.    

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    • Cite

    APA: Copy

    DOUSTI, H., & NIROUMAND, H.A.. (2005). WAVELETS FOR NONPARAMETRIC STOCHASTIC REGRESSION WITH PAIRWISE NEGATIVE QUADRANT DEPENDENT RANDOM VARIABLES. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, 16(3), 255-259. SID. https://sid.ir/paper/529272/en

    Vancouver: Copy

    DOUSTI H., NIROUMAND H.A.. WAVELETS FOR NONPARAMETRIC STOCHASTIC REGRESSION WITH PAIRWISE NEGATIVE QUADRANT DEPENDENT RANDOM VARIABLES. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN[Internet]. 2005;16(3):255-259. Available from: https://sid.ir/paper/529272/en

    IEEE: Copy

    H. DOUSTI, and H.A. NIROUMAND, “WAVELETS FOR NONPARAMETRIC STOCHASTIC REGRESSION WITH PAIRWISE NEGATIVE QUADRANT DEPENDENT RANDOM VARIABLES,” JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, vol. 16, no. 3, pp. 255–259, 2005, [Online]. Available: https://sid.ir/paper/529272/en

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