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The application of a notice-event model to improve classical exposure-annoyance estimation

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MLA
Lercher, Peter, et al. “The Application of a Notice-Event Model to Improve Classical Exposure-Annoyance Estimation.” Proceedings of the Acoustics 2012 Hong Kong Conference, 2012.
APA
Lercher, P., Bockstael, A., De Coensel, B., Dekoninck, L., & Botteldooren, D. (2012). The application of a notice-event model to improve classical exposure-annoyance estimation. Proceedings of the Acoustics 2012 Hong Kong Conference. Presented at the The Acoustics 2012 Hong Kong Conference, Hong-Kong, China.
Chicago author-date
Lercher, Peter, Annelies Bockstael, Bert De Coensel, Luc Dekoninck, and Dick Botteldooren. 2012. “The Application of a Notice-Event Model to Improve Classical Exposure-Annoyance Estimation.” In Proceedings of the Acoustics 2012 Hong Kong Conference.
Chicago author-date (all authors)
Lercher, Peter, Annelies Bockstael, Bert De Coensel, Luc Dekoninck, and Dick Botteldooren. 2012. “The Application of a Notice-Event Model to Improve Classical Exposure-Annoyance Estimation.” In Proceedings of the Acoustics 2012 Hong Kong Conference.
Vancouver
1.
Lercher P, Bockstael A, De Coensel B, Dekoninck L, Botteldooren D. The application of a notice-event model to improve classical exposure-annoyance estimation. In: Proceedings of the Acoustics 2012 Hong Kong Conference. 2012.
IEEE
[1]
P. Lercher, A. Bockstael, B. De Coensel, L. Dekoninck, and D. Botteldooren, “The application of a notice-event model to improve classical exposure-annoyance estimation,” in Proceedings of the Acoustics 2012 Hong Kong Conference, Hong-Kong, China, 2012.
@inproceedings{3161656,
  author       = {{Lercher, Peter and Bockstael, Annelies and De Coensel, Bert and Dekoninck, Luc and Botteldooren, Dick}},
  booktitle    = {{Proceedings of the Acoustics 2012 Hong Kong Conference}},
  language     = {{eng}},
  location     = {{Hong-Kong, China}},
  pages        = {{6}},
  title        = {{The application of a notice-event model to improve classical exposure-annoyance estimation}},
  year         = {{2012}},
}