Application of Principal Component Regression with Dummy Variable in Statistical Downscaling to Forecast Rainfall
نویسندگان
چکیده
منابع مشابه
Forecast comparison of principal component regression and principal covariate regression
Forecasting with many predictors is of interest, for instance, in macroeconomics and finance. This paper compares two methods for dealing with many predictors, that is, principal component regression (PCR) and principal covariate regression (PCovR). The forecast performance of these methods is compared by simulating data from factor models and from regression models. The simulations show that, ...
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ژورنال
عنوان ژورنال: Open Journal of Statistics
سال: 2014
ISSN: 2161-718X,2161-7198
DOI: 10.4236/ojs.2014.49063