A Method to Expand Family of Continuous Distributions based on Truncated Distributions

Abbas Mahdavi, G. O. Silva
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引用次数: 8

Abstract

A new method to generate various family of distributions is introduced. This method introduces a new two-parameter extension of the exponential distribution to illustrate its application. Some statistical and reliability properties of the new distribution, including explicit expressions for the moments, quantiles, mode, moment generating function, mean residual lifetime, stochastic orders, order statistics and some entropies are discussed. Maximum likelihood method is used to estimate the unknown parameters and the Fisher information matrix is given. The obtained results are validated using a real data set and it is shown that the new family provides a better fit than some other known distributions.
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基于截断分布的连续分布族扩展方法
介绍了一种生成多族分布的新方法。该方法引入了指数分布的一种新的双参数扩展来说明其应用。讨论了新分布的一些统计和可靠性性质,包括矩、分位数、模态、矩生成函数、平均残差寿命、随机阶数、阶数统计量和一些熵的显式表达式。采用极大似然法对未知参数进行估计,并给出了Fisher信息矩阵。用实际数据集对所得结果进行了验证,结果表明,新的分布族比其他一些已知分布具有更好的拟合性。
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