Assessing the Importance of Climate Variables on RDI and SPEI Using Backward Multiple Linear Regression in Arid to Humid Regions Over Iran

Zarei, Amin

doi:10.1007/s00024-022-03073-1

Pure Appl. Geophys.

2022

DOI: 10.1007/s00024-022-03073-1

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Assessing the Importance of Climate Variables on RDI and SPEI Using Backward Multiple Linear Regression in Arid to Humid Regions Over Iran

Amin Zarei

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Cited by 5 publications

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Assessing the Importance of Climate Variables on RDI and SPEI Using Backward Multiple Linear Regression in Arid to Humid Regions Over Iran

Cited by 5 publications

References 31 publications

ML-DPIE: comparative evaluation of machine learning methods for drought parameter index estimation: a case study of Türkiye

ML-DPIE: comparative evaluation of machine learning methods for drought parameter index estimation: a case study of Türkiye

Comparison of the capability of the Meteorological and Remote Sensing Drought Indices

Meteorological Drought Prediction Based on Evaluating the Efficacy of Several Prediction Models

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