Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software
Autor Hossein Bonakdari, Mohammad Zeynoddinen Limba Engleză Paperback – 21 apr 2022
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
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Specificații
ISBN-13: 9780323917483
ISBN-10: 0323917488
Pagini: 366
Dimensiuni: 191 x 235 mm
Greutate: 0.64 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323917488
Pagini: 366
Dimensiuni: 191 x 235 mm
Greutate: 0.64 kg
Editura: ELSEVIER SCIENCE
Public țintă
EnvironmentsSoil science
Water engineering, hydrology, statistics
Cuprins
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
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