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Statistics in Musicology

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2015

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https://doi.org/10.1002/9781118445112.stat07843
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BALAKRISHNAN, N., ed., Theodore COLTON, ed., Brian EVERITT, ed., Walter PIEGORSCH, ed., Fabrizio RUGGERI, ed., Jozef L. TEUGELS, ed.. Wiley StatsRef : Statistics Reference Online. Chichester, UK: John Wiley & Sons, Ltd, 2015, pp. 1-6. ISBN 978-1-118-44511-2. Available under: doi: 10.1002/9781118445112.stat07843

Zusammenfassung

In the last few decades, music theory witnessed an increasing trend toward quantification. The quantification of musical data lead to a fast growing demand for statistical methods. Potentially, all areas of statistics can be useful for answering questions in musicology. Due to the complexity of music, often new statistical methods have to be developed. In the following, a brief overview is given, illustrated by a few examples.

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310 Statistik

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ISO 690BERAN, Jan, 2015. Statistics in Musicology. In: BALAKRISHNAN, N., ed., Theodore COLTON, ed., Brian EVERITT, ed., Walter PIEGORSCH, ed., Fabrizio RUGGERI, ed., Jozef L. TEUGELS, ed.. Wiley StatsRef : Statistics Reference Online. Chichester, UK: John Wiley & Sons, Ltd, 2015, pp. 1-6. ISBN 978-1-118-44511-2. Available under: doi: 10.1002/9781118445112.stat07843
BibTex
@incollection{Beran2015Stati-33969,
  year={2015},
  doi={10.1002/9781118445112.stat07843},
  title={Statistics in Musicology},
  isbn={978-1-118-44511-2},
  publisher={John Wiley & Sons, Ltd},
  address={Chichester, UK},
  booktitle={Wiley StatsRef : Statistics Reference Online},
  pages={1--6},
  editor={Balakrishnan, N. and Colton, Theodore and Everitt, Brian and Piegorsch, Walter and Ruggeri, Fabrizio and Teugels, Jozef L.},
  author={Beran, Jan}
}
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