ارزیابی کارایی روش‌های مختلف ایستاسازی داده‌ها با استفاده از مدل‌های خانواده ARIMA

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Jafarzadeh J, Rostamzadeh H and Asadi E, 2017. Modeling temporal of groundwater level using basic techniques of time series analysis (Case Study: Ardabil Plain). Water and Soil Science- University of Tabriz 27(4): 185-196. (In Persian)

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Khalili K, Nazeri Tahrudi M and Abbaszadeh Afshar M, 2017. Performance evaluation of combined multivariate time series, MPAR and MPAR-ARCH models for modeling river flow eeries considering the effectivemeteorological components (Case study: Nazloochai river). Water and Soil Science- University of Tabriz 27(3): 121-133. (In Persian)

Khalili K and Nazeri Tahrudi M, 2016. Performance evaluation of ARMA and CARMA models in modeling annual precipitation of Urmia synoptic station. Water and Soil Science- University of Tabriz 26(2-1): 13-28. (In Persian)

Khalili K and Nazeri Tahrudi M, 2014. Modeling of annual water level changes of Urmia Lake with linear time series models. Water Management in Arid Lands 1(1): 25-35. (In Persian)

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Mirzavand M and Ghazavi R, 2015. A stochastic modelling technique for groundwater level forecasting in an arid environment using time series methods. Water Resource Management 29:1315-1328.

Narasimha Murthy KV, Saravanal R and Vijaya Kumar K, 2018. Modeling and forecasting rainfall patterns of southwest monsoons in North–East India as a SARIMA process. Meteorology and Atmospheric Physics 130(1): 99-106.

Nazeri Tahrudi M, Khalili K, Abbaszade Afshar M and Nazeri Tahrudi Z, 2014. Compared to the normal mechanism becomes the normal monthly rainfall data from different regions of Iran. Journal of Water and Soil 28(2): 365-372. (In Persian)

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Rahman AM, Yunsheng Y and Sultana N, 2017. Analysis and prediction of rainfall trends over Bangladesh using Mann–Kendall, Spearman’s rho tests and ARIMA model. Meteorology and Atmospheric Physics 129(4): 409-424.

Somvanshi VK, Pandey OP, Agrawal PK, Kalanker NV, Prakash MR and Chand R, 2006. Modelling and prediction of rainfall using artificial neural network and ARIMA techniques. Journal of Indian Geophysical Union 10(2): 141-151.

Toranjian A and Marofi S, 2017. Evaluation of deterministic and geostatistical methods for regionalization of seasonal precipitation in Hamadan province. Water and Soil Science- University of Tabriz 27(3): 211-224. (In Persian)

Veysipoor H, Masumpoor Samakoosh J, Sahneh B and Yousefi Y, 2010. Analysis of prediction of rainfall and temperature trends using time series models (ARIMA) (Case study: Kermanshah township). Geography 4(12): 63 – 77. (In Persian)

Wang HR, Wang C, Lin X and Kang J, 2014. An improved ARIMA model for precipitation simulations. Nonlinear Processes in Geophysics 21: 1159-1168.