Communications for Statistical Applications and Methods

  • 제14권1호
  • /
  • Pages.1-9
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  • 2007
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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Forecasting Probability of Precipitation Using Morkov Logistic Regression Model

  • Park, Jeong-Soo (Department of Statistics, Chonnam National University) ;
  • Kim, Yun-Seon (HR Planning Group, Korea Marketing, LG Electronics Inc.)
  • 발행 : 2007.04.30
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초록

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.

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참고문헌

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