Review of <i>Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software</i> by Hossein Bonakdari and Mohammad ZeynoddinElsevier, Amsterdam, Netherlands; 2022; Paperback ISBN 9780323917483, eBook ISBN 9780323972758; 366 pp. + codes and YouTube tutorials; $165.00.-Reference-Cited by-同舟云学术

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Review of Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software by Hossein Bonakdari and Mohammad ZeynoddinElsevier, Amsterdam, Netherlands; 2022; Paperback ISBN 9780323917483, eBook ISBN 9780323972758; 366 pp. + codes and YouTube tutorials; $165.00.

Published:2024-04 Issue:2 Volume:29 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Nourani Vahid¹

Affiliation:

1. Professor of Civil and Environmental Engineering, Faculty of Civil Engineering, Univ. of Tabriz, Tabriz, E. Azerbaijan 51666, Iran; Adjunct Professor and Honorary Adjunct Professor, College of Engineering, Information Technology and Environment, Charles Darwin Univ., Ellengowan, Brinkin NT 0810, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JHYEFF.HEENG-6195

Reference7 articles.

1. New insights into soil temperature time series modeling: linear or nonlinear?

2. Box, G. E. P., and G. M. Jenkins. 1976. “Time series analysis: Forecasting and control.” In Holden-Day series in time series analysis, edited by E. P. Box and G. M. Jenkins. San Francisco: Holden-Day.

3. Data Analysis

4. Evaluation of preprocessing techniques for improving the accuracy of stochastic rainfall forecast models

5. Structural-optimized sequential deep learning methods for surface soil moisture forecasting, case study Quebec, Canada

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