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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.