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Table 3 Estimated coefficients of the ARIMAX-W(2, 0, 2) model

From: Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach

 

Estimate

Standard error

p

January

112.93

3.68

 < 0.001

February

111.17

3.30

 < 0.001

March

101.35

3.80

 < 0.001

April

90.24

3.70

 < 0.001

May

83.41

4.70

 < 0.001

June

84.78

3.49

 < 0.001

July

81.19

4.08

 < 0.001

August

78.43

4.39

 < 0.001

September

86.49

3.69

 < 0.001

October

88.64

3.46

 < 0.001

November

94.97

3.09

 < 0.001

December

109.51

3.16

 < 0.001

Monday

170.97

2.00

 < 0.001

Tuesday

148.29

1.94

 < 0.001

Wednesday

147.47

1.97

 < 0.001

Thursday

145.46

2.23

 < 0.001

Friday

164.24

2.04

 < 0.001

Saturday

176.05

2.10

 < 0.001

Sunday

170.63

2.05

 < 0.001

Min temp

0.45

0.21

0.03

Max temp

0.89

0.23

 < 0.001

Holiday + 1

5.68

3.35

0.09

Holiday + 0

 − 8.57

2.99

 < 0.001

Holiday − 1

19.12

2.66

 < 0.001

φ1

 − 0.11

0.14

0.44

φ1

0.69

0.10

 < 0.001

θ1

0.28

0.14

0.05

θ2

 − 0.58

0.10

 < 0.001

σ2

352.37

16.26

 < 0.001

  1. ɸ non-seasonal autoregression, θ non-seasonal moving average