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Updated: Jul 2, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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使用线性和非线性NNAR和混合随机时间序列模型建模沙特阿拉伯的GDP

Abdullah M Almarashi1, Muhammad Daniyal2, Farrukh Jamal2

  • 1Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.

PloS one
|February 23, 2024
PubMed
概括

神经网络自回归 (NNAR) 模型准确预测沙特阿拉伯的国内生产总值 (GDP) 年增长率,优于其他时间序列方法. 这为经济政策和规划提供了可靠的工具.

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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Linear Approximation in Time Domain01:21

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