Open Journal of Statistics

Open Journal of Statistics

ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org
"Application of Principal Component Regression with Dummy Variable in Statistical Downscaling to Forecast Rainfall"
written by Sitti Sahriman, Anik Djuraidah, Aji Hamim Wigena,
published by Open Journal of Statistics, Vol.4 No.9, 2014
has been cited by the following article(s):
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[2] Assessment of Regression Model for Rainfall in Saudi Arabia (1979-2011) Using Dummy Variables
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[3] Development of statistical downscaling model based on Volterra series realization, principal components and ridge regression
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[4] Contribution of ordinal variables to short-term global solar irradiation forecasting for sites with low variabilities
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[5] Principal Component Regression in Statistical Downscaling with Missing Value for Daily Rainfall Forecasting
International Journal of …, 2021
[6] Intercomparison of statistical downscaling models: a case study of a large-scale river basin
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[7] Statistical downscaling using principal component regression for climate change impact assessment at the Cauvery river basin
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[8] Intercomparing the robustness of machine learning models in simulation and forecasting of streamflow
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[9] Measuring Technical Efficiency and Returns to Scale in Indian Agriculture Using Panel Data: A Case Study of West Bengal
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[10] Elastic-Net Regularization in Statistical Downscaling to Estimate Rainfall
2017
[11] Pre-tuned principal component regression and several variants
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[12] Semiparametric Modeling in Statistical Downscaling to Predict Rainfall
Applied Mathematical Sciences, 2015
[13] Climate change projections for winter streamflow in Douro River
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[14] Quantile Spline Regression on Statistical Downscaling Model to Predict Extreme Rainfall in Indramayu
Applied Mathematical Sciences, 2015
[15] Semi parametric Modeling in Statistical Downscaling to Predict Rainfall
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