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Cites:

Information Journal Paper

Title

On Approximating the Distribution of Indefinite Quadratic Forms by Moments Approach

Pages

  157-171

Abstract

 In this study, the multi-parameter exponential family of distribution has been used to approximate the distribution of indefinite Quadratic forms in normal random vectors. Moments of Quadratic forms can be obtained in any orders in terms of representation of the Quadratic forms as weighted sum of non-central chi-square random variables. By Stein's identity in exponential family, we estimated parameters of probability density function. The method handled in some examples and we indicated this method suitable for approximating the Quadratic form distribution.

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  • Cite

    APA: Copy

    REKABDAR, GHASEM, CHINIPARDAZ, RAHIM, & MANSOURI, BEHZAD. (2019). On Approximating the Distribution of Indefinite Quadratic Forms by Moments Approach. JOURNAL OF STATISTICAL SCIENCES, 13(1 ), 157-171. SID. https://sid.ir/paper/124126/en

    Vancouver: Copy

    REKABDAR GHASEM, CHINIPARDAZ RAHIM, MANSOURI BEHZAD. On Approximating the Distribution of Indefinite Quadratic Forms by Moments Approach. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2019;13(1 ):157-171. Available from: https://sid.ir/paper/124126/en

    IEEE: Copy

    GHASEM REKABDAR, RAHIM CHINIPARDAZ, and BEHZAD MANSOURI, “On Approximating the Distribution of Indefinite Quadratic Forms by Moments Approach,” JOURNAL OF STATISTICAL SCIENCES, vol. 13, no. 1 , pp. 157–171, 2019, [Online]. Available: https://sid.ir/paper/124126/en

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