Stochastic Modeling
A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software

Solves a wide variety of time series problems that bridge the gap between hydrology/climatology/remote sensing and data science/stochastic pipeline, and more

Hossein Bonakdari (Author), Mohammad Zeynoddin (Author)

9780323917483, Elsevier Science

Paperback / softback, published 21 April 2022

366 pages
23.5 x 19 x 2.3 cm, 0.45 kg

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.

1. Introduction
2. Preparation and Stationarizing
3. Distribution evaluation and Normalization
4. Stochastic Modeling
5. Goodness-Of-Fit and Precision Criteria
Appendix
MATLAB introduction and basic commands
Introduction
How to execute commands in MATLAB: Frequently used commands
Using MATLAB’s help

Subject Areas: The environment [RN], Environmental economics [KCN]