关于二元伪逻辑分布：其性质、估计与应用
On Bivariate Pseudo-Logistic Distribution: Its Properties, Estimation and Applications
AI总结：
本研究探讨二元伪逻辑分布的性质、估计与应用，该分布具有逻辑边际与条件分布，并提供了应用实例。
摘要：
文献已详细探讨了传统一元和二元逻辑分布的特征与用途。然而，合理的问题是，逻辑边际分布和条件分布是否可能表现出类似的行为。这一现象可与二元指数分布和二元正态分布相媲美。在本研究中，我们将专注于二元分布，其中一族条件分布是边际的，另一族是逻辑类型的。此类分布被称为伪逻辑分布。然而，对条件指定模型的研究表明，仅在变量独立的情况下，逻辑边际分布和两个条件分布才会呈现逻辑形式。我们讨论了分布方面的特征以及如何利用原始分布构建它们。原始和新的条件设定以两种不同方式被使用。还考虑了可能的推广。我们还提供了一个伪逻辑模型应用的实例。
英文摘要：
The literature has covered the features and uses of the traditional univariate and bivariate logistic distributions in great detail. It is reasonable to wonder, though, if logistic marginals and conditionals could exhibit a similar behavior. A phenomenon that is comparable to both bivariate exponential and bivariate normal distributions. In this study, we will concentrate on bivariate distributions where one family of conditionals is marginal and the other family is of logistic type. Pseudo-logistic distributions are the name for such distributions. Research on conditionally specified models has revealed, however, that only in cases where the variables are independent will logistic marginals and both conditionals be of the logistic form occur. We talk about the features of distributional aspects and how they are built using the original. Both the original and the new conditioning regimes are used in two different ways. Possible generalizations are also considered. We also provide an example of a Pseudo-logistic model application.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
