关于一族离散对数对称分布
On a family of discrete log-symmetric distributions
摘要：
连续概率分布的使用在具有纯离散性质的问题中已被广泛使用。一般来说，这样的分布在这种情况下是不合适的。本文在连续对数对称分布族的基础上引入了一类离散非对称分布。讨论了它的一些性质，并用极大似然方法进行了估计.一个蒙特卡罗模拟研究进行评估的估计性能，和删失和未删失数据集被用来说明所提出的方法。
英文摘要：
The use of continuous probability distributions has been widespread in problems with purely discrete nature. In general, such distributions are not appropriate in this scenario. In this paper, we introduce a class of discrete and asymmetric distributions based on the family of continuous log-symmetric distributions. Some properties are discussed as well as estimation by the maximum likelihood method. A Monte Carlo simulation study is carried out to evaluate the performance of the estimators, and censored and uncensored data sets are used to illustrate the proposed methodology.
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