Regressive-stochastic models for predicting water level in Lake Urmia
Author:
Affiliation:
1. Department of Civil Engineering, Bursa Technical University, Bursa, Turkey
2. Department of Civil Engineering, Istanbul Technical University, Istanbul, Turkey
Funder
Istanbul Teknik Universitesi
Publisher
Informa UK Limited
Subject
Water Science and Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/02626667.2021.1974447
Reference47 articles.
1. Stochastic modeling of Lake Van water level time series with jumps and multiple trends
2. Discussion of “Comparison of Two Nonparametric Alternatives for Stochastic Generation of Monthly Rainfall” by R. Srikanthan, A. Sharma, and T. A. McMahon
3. Properties of sufficiency and statistical tests
4. Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine
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