Multicompartment Models: Overview
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
Friedman Two-way Analysis of Variance by Ranks
Multi-input and Multi-variable systems
Expected Frequencies in Goodness-of-Fit Tests
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Andrea Zanoni1, Gianluca Geraci2, Matteo Salvador1
1Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA.
这项研究为计算上昂贵的模型引入了新的多忠实性蒙特卡洛估计器. 这些方法通过创建共享的参数子空间来减少不确定性,提高准确性和效率.
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