Stochastic Modeling (ePub)

Name: Stochastic Modeling
Brand: Elsevier Science & Techn.
SKU: 142925204
Price: 131.00 EUR
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A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software (Sprache: Englisch)

Autoren: Hossein Bonakdari , Mohammad Zeynoddin

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Stochastic Modeling, Hossein Bonakdari, Mohammad Zeynoddin

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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...

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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.

Provides video tutorials on the use of codes
Includes a companion site with 3,000 lines of programming, 70 principal codes and 100 pseudo codes
Highlights multiple methods to Illustrate each problem

Autoren-Porträt von Hossein Bonakdari, Mohammad Zeynoddin

Dr. Bonakdari obtained his PhD in Civil Engineering from the University of Caen Normandy (France). He has worked for several organizations and most recently as an Associate Professor at the Department of Civil Engineering of the University of Ottawa (Canada). He is one of the most influential scientists in the field of developing novel algorithms for solving practical problems through the decision-making abilities of AI. His research also focuses on creating comprehensive methodologies in the areas of simulation modeling, optimization, and machine learning algorithms. The results obtained from his research have been published in international journals and presented at international conferences. He was included in the list of the world's top 2% scientists, published by Stanford University, and is on the Editorial board of several journals.

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Autoren: Hossein Bonakdari , Mohammad Zeynoddin
2022, 366 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0323972756
ISBN-13: 9780323972758
Erscheinungsdatum: 13.04.2022

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Dateiformat: ePub
Größe: 51 MB
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Englisch

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