Model and Analyse Interval DataPedro Duarte SilvaPaula Brito
The Rasch model can be used to transform ordinal data into interval data. Rasch has seldom been incorporated in data envelopment analysis (DEA) models. Therefore, this study attempts to apply the Rasch model in DEA to analyse the performance of seven districts including Taipei; Kaoshong; Taichung...
Simulation studies are conducted to investigate the performance of the proposed estimation and the CV-based model selection procedure for finite sample size. Finally, our methods are used to analyse the aforementioned data set to explore how several factors affect the first birth interval in ...
Foundation models in deep learning are characterized by a single large-scale model trained on vast amounts of data serving as the foundation for various downstream tasks. Foundation models are generally trained using self-supervised learning and excel in reducing the demand for training samples in do...
Because the projected signals of MIZF expansion are high (increases of 10% per year, compared to typical historical trends of 1–2% per year), and in September MIZF changes are not correlated with GMT changes, it may be possible to use MIZF forecasts in real time to assess and analyse ...
Our observed data have peculiar features, such as informative missing values, non-reliable measures under a specific condition and interval-censored data, that we take into account in the model specification. We analyse the time series with a non-parametric Bayesian hidden Markov model, introducing ...
model and the real system as two states of a factor and get two groups of data in the same condition.Analyse variance of the data,then tell whether the difference between two groups is obvious or not.The simulation model accords with the real system if the outcome is not obviously ...
These models are typically developed using large volumes of high-quality labels, which requires expert assessment and laborious workload1,2. However, the scarcity of experts with domain knowledge cannot meet such an exhaustive requirement, leaving vast amounts of medical data unlabelled and unexploited...
In human clinical echocardiography, Simpson’s method, the longitudinal strain/strain rate, and transverse strain/strain rate are usually analysed using the apical long-axis approach. However, in this study, we used the parasternal long-axis view to analyse these variables, because of the limited...
First, to assess accuracy, the 95% bootstrap confidence interval (95% CI) of parameter estimates and modelled performances were calculated. Second, to study ill-conditioning, the correlation matrix of parameter estimates was computed. Finally, to analyse stability, iterative computation was performed ...