A bibliography of statistical applications in musicology. Nettheim, N. Musicology Australia, 20(1):94–106, 1997.
doi  abstract   bibtex   
Statistical applications in musicology appear in widely scattered publications. The present bibliography, mainly of English language publications, extends back to the beginning of the present century. The analysis of musical scores is emphasized, but applications in the social sciences arc also touched upon, as well as those to performance studies and algorithmic composition. Statistical techniques include simple summarization, graphical methods, time series analysis, information theory, Zipf's law, Markov chains, fractals, and neural networks. Several cases of misapplication of statistics are noted. Commentary is provided on the field and its sub-fields. \textcopyright 1997, Taylor & Francis Group, LLC. All rights reserved.
@article{nettheim1997-bibliography,
  abstract      = {Statistical applications in musicology appear in widely scattered publications. The present bibliography, mainly of English language publications, extends back to the beginning of the present century. The analysis of musical scores is emphasized, but applications in the social sciences arc also touched upon, as well as those to performance studies and algorithmic composition. Statistical techniques include simple summarization, graphical methods, time series analysis, information theory, Zipf's law, Markov chains, fractals, and neural networks. Several cases of misapplication of statistics are noted. Commentary is provided on the field and its sub-fields. {\textcopyright} 1997, Taylor \& Francis Group, LLC. All rights reserved.},
  author        = {Nettheim, Nigel},
  doi           = {10.1080/08145857.1997.10415974},
  issn          = {1949453X},
  journal       = {Musicology Australia},
  keywords      = {music and mathematics},
  mendeley-tags = {music and mathematics},
  number        = {1},
  pages         = {94--106},
  title         = {{A bibliography of statistical applications in musicology}},
  volume        = {20},
  year          = {1997}
}

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