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Table 8 Estimated p-value for different crime types at different time interval

From: Crime event prediction with dynamic features

Time Interval Theft Drug Offence Assault Fraud Unlawful Entry Traffic Related Offence
(a) Brisbane
[9–12) 0.04 0.95 0.172 0.02 0.81 0.81
[12–15) 0.002 0.589 0.828 0.019 0.97 0.97
[15–18) 0.01 0.01 0.987 0.02 0.189 0.19
[18–21) 0.189 0.631 0.877 0.83 0.4 0.04
[21–24) 0.01 0.048 0.1 0.828 0.4 0.42
(b) New York City
[9–12) \(1.5e^{-8}\) 0.005 \(1.68e^{-7}\) 0.0007 0.31 0.31
[12–15) \(2.84e^{-8}\) \(3.09e^{-7}\) \(1.44e^{-6}\) 0.0001 0.05 0.03
[15–18) \(2.2e^{-7}\) \(3.45e^{-5}\) \(1.09e^{-5}\) 0.002 0.31 0.02
[18–21) \(2.2e^{-7}\) \(5.12e^{-6}\) \(6.94e^{-9}\) 0.03 0.006 0.001
[21–24) \(4.25e^{-7}\) \(9.15e^{-6}\) \(1.73e^{-7}\) 0.03 0.02 0.01