Abstract
Not unexpectedly, weight analysis turns out to be complex information that cannot always be handled intuitively. This suggests techniques that help analyzing weight analysis. The problem may be tackled by use of statistical methods. We expose the subject and Jan Beran‘s approach based upon hierarchical decompositions of weights, together with an application to comparison of analyses of Bach, Schumann, and Webern.
Original language | English (US) |
---|---|
Title of host publication | Computational Music Science |
Publisher | Springer Nature |
Pages | 707-718 |
Number of pages | 12 |
DOIs | |
State | Published - 2017 |
Publication series
Name | Computational Music Science |
---|---|
ISSN (Print) | 1868-0305 |
ISSN (Electronic) | 1868-0313 |
Bibliographical note
Publisher Copyright:© 2017, Springer International Publishing AG, part of Springer Nature.