Fitting "bad urban" roadside motor traffic sound level to skewed distribution models
Motor vehicular traffic sound data was collected in a "bad urban" neighborhood in Hong Kong, with the microphone placed at a window of a high-rise building overlooking the motor way. This sound-pressure level data is the one-second equivalent A-weighted sound pressure level L_{Aeq,1sec}.
This data's histogram is fit to various skewed probability distributions, like the "generalized hyperbolic" family of distribution. The fit criteria are the "log likelihood" and the "Akaike Information Criterion" (AIC).
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Document Type: Research Article
Publication date: 07 December 2017
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