随机建模：通过MATLAB软件对时间序列进行评估、预处理、建模和比较的全面指南，为时间序列分析和预测建模提供了新途径，总结了十多年来在环境问题中应用随机模型的经验。这本书介绍了复杂环境系统建模和预测中时间序列中的各种不同主题。最重要的是，所有代码都是用户友好的，读者将能够在他们的案例中使用它们。可能不熟悉MATLAB软件的用户也可以参考附录。
本书还指导读者逐步学习时间序列建模的开发代码，提供所需的工具箱，解释概念，并为不同类型的环境时间序列问题应用不同的工具。
Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software
Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software allows for new avenues in time series analysis and predictive modeling which summarize more than ten years of experience in the application of stochastic models in environmental problems. The book introduces a variety of different topics in time series in the modeling and prediction of complex environmental systems. Most importantly, all codes are user-friendly and readers will be able to use them for their cases. Users who may not be familiar with MATLAB software can also refer to the appendix.
This book also guides the reader step-by-step to learn developed codes for time series modeling, provides required toolboxes, explains concepts, and applies different tools for different types of environmental time series problems.
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