Journal of Statistical Computation and Simulation ( IF 1.2 ) Pub Date : 2021-01-13 Vimukthini Pinto, Roshini Sooriyarachchi
Multilevel modelling is a novel approach to analyse data which consist of a hierarchical or a nested structure. With advancements in multilevel modelling, there has been an advancement in the estimation techniques and also in goodness-of-fit tests which are vital to assess the fit of a model. However, these goodness-of-fit tests are not as yet tested to be suitable for models estimated using different estimation techniques. This study aims to conduct a comparison of methods of estimations for use in a goodness-of-fit test which is developed for binary response multilevel models. The comparison is based upon the mathematical background, extensive simulations and an application to a real-life dataset.
中文翻译:
拟合优度估计方法的比较–分析和模拟研究
多层建模是一种分析数据的新颖方法,该数据由层次结构或嵌套结构组成。随着多级建模的进步,估计技术和拟合优度测试也有了进步,这对于评估模型的拟合至关重要。但是,这些拟合优度测试尚未测试为适合使用不同估算技术估算的模型。这项研究旨在对用于二值响应多级模型的拟合优度检验中使用的估计方法进行比较。比较是基于数学背景,广泛的模拟以及对实际数据集的应用。