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Predicting precipitation level
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AI
DOI：10.1029/96JD01386.png)
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摘要
En 中文
We present a generalized logistic regression model for the statistical analysis of multicategorical time series. The model is suitably parameterized and partial likelihood inference is proposed for estimation of the unknown parameters. A goodness of fit statistic is derived to judge the quality of fit. The analysis is applied to data from the Tropical Ocean and Global Atmosphere/Coupled Ocean-Atmosphere Response Experiment.
Keyword:
LOGISTIC-REGRESSION
PARTIAL LIKELIHOOD
RAINFALL
MODELS
期刊
J
IF:
3.4
论文数:
2.2W
被引数:
7.7W
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