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Forecasting Probability of Precipitation Using Morkov Logistic Regression Model
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 Title & Authors
Forecasting Probability of Precipitation Using Morkov Logistic Regression Model
Park, Jeong-Soo; Kim, Yun-Seon;
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 Abstract
A three-state Markov logistic regression model is suggested to forecast the probability of tomorrow`s precipitation based on the current meteorological situation. The suggested model turns out to be better than Markov regression model in the sense of the mean squared error of forecasting for the rainfall data of Seoul area.
 Keywords
Binary response;Markov chain;maximum likelihood estimation;mean squared error;rainfall;transition probability;
 Language
Korean
 Cited by
 References
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