Delimitations of hierarchical linear modeling (HLM) were examined in terms of fixed and random effects in multilevel data analyses. The author used examples at the local and national levels to ...

This study examined the differing conclusions one may come to depending upon the type of analysis chosen, hierarchical linear modeling or ordinary least squares (OLS) regression. To illustrate this ...

We aim to construct the integrated simulation system for the prediction of biomolecular complexes and the analysis of their functional mechanisms. This novel simulation method gradually shifts from ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

This is our work in Nankai University Mathematical Modeling Competition in 2023, in which we solved a shared bike scheduling problem through a scheme based on Hierarchical clustering and linear ...

Abstract: In this paper, a hierarchical self-triggered mechanism is designed to address real-time trade-offs between control performance and resource utilization in linear systems, accompanied by ...