Bootstrap methods are used in many disciplines to estimate the uncertainty of parameters, including multi-level or linear mixed-effects models. Residual-based bootstrap methods which resample both ...

Abstract: The solution of state-based stochastic models is usually a demanding application, then it is a natural subject to high performance techniques. We are particularly interested in the speedup ...

Computer simulations have played a critical role in functional magnetic resonance imaging (fMRI) research, notably in the validation of new data analysis methods. Many approaches have been used to ...

Studies on the iteration procedure in double bootstrap method have given a great impact on confidence interval performance. However, the procedure was claimed to be complicated and demand intensive ...

This repository contains the code which generates the tables and figures in the article 'Marginal and Conditional Multiple Inference for Linear Mixed Model Predictors' and its Supplement. While the ...

This repository contains R Markdown code that replicates the methodologies and results from Oyeyemi's paper: Comparison of Bootstrap and Jackknife Methods of Re-Sampling in Estimating Population ...