A Weighted Multiple Regression Model to Predict Rainfall Patterns: Principal Component Analysis approach-Reference-Cited by-同舟云学术

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A Weighted Multiple Regression Model to Predict Rainfall Patterns: Principal Component Analysis approach

Published:2014-05-01 Issue: Volume: Page:
ISSN:2039-9340
Container-title:Mediterranean Journal of Social Sciences
language:
Short-container-title:MJSS

Author:

Chifurira Retius,Chikobvu Delson

Publisher

Richtmann Publishing

Subject

General Economics, Econometrics and Finance,General Social Sciences,General Arts and Humanities

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transfer precipitation learning via patterns of dependency matrix-based machine learning approaches;Neural Computing and Applications;2022-08-15

2. Spatial and temporal rainfall variability and its controlling factors under an arid climate condition: case of Gabes Catchment, Southern Tunisia;Environment, Development and Sustainability;2021-07-27

3. An integrated fuzzy rough set and real coded genetic algorithm approach for crop identification in smart agriculture;Multimedia Tools and Applications;2021-03-13

4. ESTIMATIVA DE PRECIPITAÇÃO ANUAL NO NORTE DO BRASIL CONSIDERANDO OS EFEITOS DOS EVENTOS ENOS: EL NIÑO E LA NIÑA;Revista AIDIS de Ingeniería y Ciencias Ambientales. Investigación, desarrollo y práctica;2020-04-06

5. The local and global climate forcings induced inhomogeneity of Indian rainfall;Scientific Reports;2018-04-16

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