Approximation of discrete series distribution laws by orthogonal discrete polynomials

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| 2001年 / Kievskij Politekhnicheskij Insitut卷 / 44期
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Approximation theory - Probability density function - Random processes - Statistical methods;
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摘要：
The main properties of the discrete polynomials of Kravchuk, Makesner and Sharlie are considered. Their practical application for approximation of discrete distribution laws by the orthogonal series is discussed. A technique is suggested for identification of discrete distribution laws with the help of the method of moments.
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