@article {Muaz:2017:0736-2935:5909,
title = "Fitting "bad urban" roadside motor traffic sound level to skewed distribution models",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2017",
volume = "255",
number = "2",
publication date ="2017-12-07T00:00:00",
pages = "5909-5914",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2017/00000255/00000002/art00112",
author = "Muaz, Muhammad and Tang, Shiu-keung and Lin, Tsair-Chuan and Ng, H. T.",
abstract = "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).",
}