toggle="yes">t=24.46, b=0.20,<italic toggle="yes">SE b=0.008,<italic toggle="yes">p<.001
toggle="yes">t=55.70, b=0.17,<italic toggle="yes">SE b=0.003,<italic toggle="yes">p<.001
toggle="yes">t=-11.02, b=-0.06,<italic toggle="yes">SE b=0.005,<italic toggle="yes">p<.001
toggle="yes">Z=-5.21, b=-1.83,<italic toggle="yes">SE b=0.35,<italic toggle="yes">p<.001,<italic toggle="yes">d=1.53
Z=1.37, b=0.97,<italic toggle="yes">SE b=0.71,<italic toggle="yes">p=0.17
Z=-0.75, b=-0.29,<italic toggle="yes">SE b=0.39,<italic toggle="yes">p=0.46
toggle="yes">t=11.29, b=0.11,<italic toggle="yes">SE b=0.01,<italic toggle="yes">p<.001,<italic toggle="yes">d=2.34
toggle="yes">t=-1.91, b=-0.39,<italic toggle="yes">SE b=0.02,<italic toggle="yes">p=0.059,<italic toggle="yes">d=0.44
toggle="yes">t=0.92, b=0.01,<italic toggle="yes">SE b=0.01,<italic toggle="yes">p=0.36
t=3.73, b=0.12,<italic toggle="yes">SE b=0.03,<italic toggle="yes">p<.001,<italic toggle="yes">d=0.84
t=1.92, b=0.08,<italic toggle="yes">SE b=0.04,<italic toggle="yes">p=0.058,<italic toggle="yes">d=0.43
t=-1.94, b=-0.5,<italic toggle="yes">SE b=0.03,<italic toggle="yes">p=0.056,<italic toggle="yes">d=0.44
toggle="yes">t=2.69, b=0.03,<italic toggle="yes">SE b=0.01,<italic toggle="yes">p=.01,<italic toggle="yes">d=0.86
toggle="yes">t=6.9, b=0.2,<italic toggle="yes">SE b=0.03,<italic toggle="yes">p<.001,<italic toggle="yes">d=2.19
toggle="yes">t=-3.18, b=-0.06,<italic toggle="yes">SE b=0.02,<italic toggle="yes">p=.003,<italic toggle="yes">d=1.02
toggle="yes">t=3.47, b=0.12,<italic toggle="yes">SE b=0.03,<italic toggle="yes">p=.001,<italic toggle="yes">d=1.12
toggle="yes">t=2.38, b=0.06,<italic toggle="yes">SE b=0.03,<italic toggle="yes">p<.05,<italic toggle="yes">d=0.42
p=0.059,<italic toggle="yes">d=0.44
F(1,73)=16,54,<italic toggle="yes">p<.025
F(1,76)=8,39,<italic toggle="yes">p<.025
F(1,73)=16,54,<italic toggle="yes">p<.025
F(1,76)=8,39,<italic toggle="yes">p<.025

An empirical survey of data augmentation for time series classification with neural networks