Abstract Regression models are widely used statistical procedures, and the validation of their assumptions plays a crucial role in data analysis process. Unfortunately, validating usually depends on availability tests tailored to specific model interest. A novel Bayesian goodness-of-fit hypothesis testing approach is presented for broad class regression response variable which univariate contin...

In this paper, we address the problem of testing goodness-of-fit for discrete distributions, where focus on geometric distribution. We define new likelihood-based tests using beta-geometric distribution and type I Weibull as alternative distributions. The are compared in a simulation study, also classical considered comparison. Throughout paper consider conditional given minimal sufficient stat...