A novel approach towards construction of absolutely continuous distributions over the unit interval is proposed. Considering two absolutely continuous random variables with positive support, this method conditions on their convolution to generate a new random variable in the unit interval. This approach is demonstrated using some popular choices of the positive random variables such as the exponential, Lindley, gamma. Some existing distributions like the uniform and the beta are formulated with this method. Several new structures of density functions having potential for future application in real life problems are also provided. One of the new distributions having one parameter is considered for parameter estimation and real life modelling application and shown to provide better fit than the popular one parameter Topp-Leone model.
翻译:提出了一个在单位间隔内构建绝对连续分布的新办法。 考虑到两个绝对连续的随机变量,并给予积极支持,这个方法在它们变异时将产生一个新的随机变量。这个方法使用一些流行选择的正随机变量(如指数、林德利、伽马等)来证明这个方法。有些现有分布(如制服和贝塔)是用这个方法来配制的。还提供了几种新的密度函数结构,这些结构有可能在今后实际生活问题中应用。其中一种具有一个参数的新分布是用于参数估计参数和实际生活模型应用,并显示它比流行的图普-莱昂参数模型更适合。