Reactivity Ratio Estimation in Non-Linear Polymerization Models using Markov Chain Monte Carlo Techniques and an Error-In-Variables Framework

Mathew Manoj; Duever Thomas

首页> 外文期刊>Macromolecular theory and simulations >Reactivity Ratio Estimation in Non-Linear Polymerization Models using Markov Chain Monte Carlo Techniques and an Error-In-Variables Framework

【24h】

Reactivity Ratio Estimation in Non-Linear Polymerization Models using Markov Chain Monte Carlo Techniques and an Error-In-Variables Framework

机译：马尔可夫链蒙特卡罗技术和变量误差框架在非线性聚合模型中的反应率估算

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Reactivity ratio estimation was carried out in various nonlinear models using Markov Chain Monte Carlo (MCMC) technique and an error-in-variables (EVM) regression model. The implementation steps for three different polymerization case studies are discussed in detail and the results from this work are compared to previously used approximation methods. Approximation techniques that rely on linear regression theory are shown to produce inaccurate joint confidence regions (JCRs). Therefore, in this paper, we explore MCMC techniques that can be used to produce JCRs with correct shape and probability content. In addition, the paper illustrates how an EVM model can be used in tackling any type of regression problem, including multi-response problems.

机译：使用马尔可夫链蒙特卡洛（MCMC）技术和变量误差（EVM）回归模型在各种非线性模型中进行了反应率估计。详细讨论了三种不同聚合案例研究的实施步骤，并将这项工作的结果与以前使用的近似方法进行了比较。依赖于线性回归理论的近似技术显示出产生不准确的联合置信区域（JCR）。因此，在本文中，我们探索了可用于生产具有正确形状和概率内容的JCR的MCMC技术。此外，本文还说明了如何使用EVM模型解决任何类型的回归问题，包括多响应问题。

著录项

来源
《Macromolecular theory and simulations》 |2015年第6期|共14页
作者
Mathew Manoj; Duever Thomas;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类高分子化学（高聚物）;
关键词
joint confidence regions; Markov Chain Monte Carlo; error-in-variables technique; non-linear parameter estimation; reactivity ratio estimation;

机译：联合置信区域;马尔可夫链蒙特卡洛;变量误差技术;非线性参数估计;反应率估计;

相似文献

外文文献
中文文献
专利

1. Reactivity Ratio Estimation in Non-Linear Polymerization Models using Markov Chain Monte Carlo Techniques and an Error-In-Variables Framework [J] . Mathew Manoj, Duever Thomas Macromolecular theory and simulations . 2015,第6期

机译：马尔可夫链蒙特卡罗技术和变量误差框架在非线性聚合模型中的反应率估算
2. A Markov Chain Monte Carlo technique for parameter estimation and inference in pesticide fate and transport modeling [J] . Julien Boulange, Hirozumi Watanabe, Shinpei Akai Ecological Modelling . 2017,第期

机译：Markov链蒙特卡罗技术用于农药命运和运输建模的参数估计和推断
3. Bayesian Modeling of External Corrosion in Underground Pipelines Based on the Integration of Markov Chain Monte Carlo Techniques and Clustered Inspection Data [J] . Wang Hui, Yajima Ayako, Liang Robert Y., Computer-Aided Civil and Infrastructure Engineering . 2015,第4期

机译：基于马尔可夫链蒙特卡罗技术和聚类检验数据集成的地下管道外部腐蚀贝叶斯建模。
4. Markov chain Monte Carlo techniques in iterative detectors: a novel approach based on Monte Carlo integration [C] . Zhenning Shi, Haidong Zhu, Farhang-Boroujeny, Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE . 2004

机译：迭代探测器中的马尔可夫链蒙特卡洛技术：基于蒙特卡洛积分的新方法
5. Implementation of Markov Chain Monte Carlo techniques in parameter estimation for engineering models. [D] . Jitjareonchai, Jessada. 2006

机译：马尔可夫链蒙特卡罗技术在工程模型参数估计中的实现。
6. A Comparison of Penalized Maximum Likelihood Estimation and Markov Chain Monte Carlo Techniques for Estimating Confirmatory Factor Analysis Models With Small Sample Sizes [O] . Oliver Lüdtke, Esther Ulitzsch, Alexander Robitzsch 2021

机译：惩罚最大似然估计和马尔可夫链蒙特卡罗技术的比较估算小型样本尺寸的验证因子分析模型
7. The Application of Markov Chain Monte Carlo Techniques in Non-Linear Parameter Estimation for Chemical Engineering Models [O] . Mathew Manoj 2013

机译：马尔可夫链蒙特卡罗技术在化工模型非线性参数估计中的应用

Reactivity Ratio Estimation in Non-Linear Polymerization Models using Markov Chain Monte Carlo Techniques and an Error-In-Variables Framework

摘要

著录项

相似文献

相关主题

期刊订阅