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Table 1 Parameters of the regression models

From: Predicting Culex pipiens/restuans population dynamics by interval lagged weather data

parameter daily weekly
  CCM OPT CCM OPT
D 0, 0 + + +
D lag 1,lag 2 39, 28 85, 85 5, 4 13, 13
T 0, 0 + + + +
T lag 1,lag 2 18, 1 21, 1 2, 1 1, 1
P 0, 0 + +
P lag 1,lag 2 76, 1 51, 16 10, 1 7, 3
H 0, 0 + +
H lag 1,lag 2 106, 23 38, 1 15, 2 4, 1
W 0, 0 +
W lag 1,lag 2 119, 86 17, 12
AIC 8710.764 7866.722 1083.408 980.019
r S - training 0.817 0.885 0.899 0.912
r S - test 0.870 0.876 0.891 0.899
RMSE - training 2.302 1.892 1.693 1.259
RMSE - test 2.475 2.229 1.960 1.752
  1. Included parameters of the CCM and OPT model indicated by”+” or the used lag (not included quantities indicated by”—”), as well as their AIC, correlation coefficient r S and root mean square error RMSE.