A new moment-dependent method of probability distribution identification
作者： A.N. Shuaib , S.Z. Selim , M. Ahmed
DOI: 10.1109/ISUMA.1990.151276
关键词: Inverse-chi-squared distribution 、 Statistics 、 Normal-gamma distribution 、 Joint probability distribution 、 Marginal distribution 、 Algorithm 、 Probability integral transform 、 Mathematics 、 Univariate distribution 、 Compound probability distribution 、 Central moment
摘要: A distribution identification method is developed in the paper. The derives a sequence of characteristic standardized moment ratios for class common continuous distribution. use has been demonstrated via several examples identifying hypothesized random variables. correctly identified >
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