Statistical methods, as a technique, encompass a set of quantitative procedures for collecting, summarizing, modeling, and inferring properties of data under uncertainty. They include techniques for ...

Right ventricular dysfunction (RVD) is prevalent in 41.7 percent of patients with heart failure with preserved ejection ...

Employees had previously raised concerns about the initiative, which involves collecting workers’ keystroke data to train AI ...

Bootstrap methods form a class of non‐parametric resampling techniques used to assess the variability and distributional properties of statistical estimators. By repeatedly drawing samples with ...

The berm package implements the Bootstrap-Enhanced Regularization Method (BERM), a statistical approach aiming to enhance the robustness and accuracy of variable selection and coefficient estimation ...

Latent variable modeling (LVM) is a powerful tool for validating tools and measurements in the social sciences. One of the main challenges in this method is the evaluation of model fit that is ...

Abstract: Through-focus scanning optical microscopy (TSOM) is an optical nondestructive measurement and inspection technique for nanoscale measurement. Uncertainty estimation is fundamental for ...

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 ...

Abstract: In this paper we address the problem of performing statistical inference for large scale data sets i.e., Big Data. The volume and dimensionality of the data may be so high that it cannot be ...