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

Author:   Hossein Bonakdari (Associate Professor, Department of Civil Engineering, University of Ottawa, Ontario, Canada) ,  Mohammad Zeynoddin (Ph.D. candidate in the field of Soil and Environments, Department of Soils and Agri‐Food Engineering, Laval University, Québec, Canada)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780323917483


Pages:   366
Publication Date:   21 April 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software


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

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Author:   Hossein Bonakdari (Associate Professor, Department of Civil Engineering, University of Ottawa, Ontario, Canada) ,  Mohammad Zeynoddin (Ph.D. candidate in the field of Soil and Environments, Department of Soils and Agri‐Food Engineering, Laval University, Québec, Canada)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
Weight:   0.450kg
ISBN:  

9780323917483


ISBN 10:   0323917488
Pages:   366
Publication Date:   21 April 2022
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

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Author Information

Dr. Hossein Bonakdari is a distinguished professor in the Department of Civil Engineering at the University of Ottawa, specializing in mathematical modeling and artificial intelligence (AI). A leading expert in AI-driven data analysis, he has pioneered advanced algorithms for real-time forecasting and big data interpretation, significantly improving the understanding and management of environmental systems. Dr. Bonakdari has authored four books, published over 320 peer-reviewed journal articles, contributed to more than 20 book chapters, and delivered over 100 presentations at national and international conferences. As a respected editorial board member of several leading journals, he continues to shape research in his field. His groundbreaking contributions have earned him global recognition, ranking him among the top 2% of the world's scientists from 2019 to 2024. Mohammad Zeynoddin is currently Ph.D. candidate in the field of Soil and Environments at Department of Soils and Agri‐Food Engineering, Laval University, Québec, Canada. He holds Master of Water Engineering and Hydraulic Structure and Bachelor of Civil Engineering diploma. His research has primarily been focused on time series modeling to improve the accuracy of calculations of hydrological variables for monitoring, real time prediction, optimization, and automation of hydrological and environmental systems. Results of his research was 12 published papers in international journals with high Impact Factors. He received several awards and honors from universities during of his Master and PhD studies. He has a passion for art and sports. He holds several international sport certificates and championships.

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