Statistics in musicology
by Beran, Jan
Traditionally, statistics and music are not generally associated with each other. However ... intelligent ... music software, computer digitization, and other advanced techniques and technologies have precipitated the need for standard statistical models to answer basic musicological questions. Statistics In Musicology presents an unprecedented introduction to statistical and mathematical methods developed for use in music analysis, music theory, and performance theory. It explores concrete met…
Read More ↓Title Statements
- Full title :Statistics in musicology / Jan Beran.
Summary
Traditionally, statistics and music are not generally associated with each other. However ... intelligent ... music software, computer digitization, and other advanced techniques and technologies have precipitated the need for standard statistical models to answer basic musicological questions. Statistics In Musicology presents an unprecedented introduction to statistical and mathematical methods developed for use in music analysis, music theory, and performance theory. It explores concrete methods for data generation and numerical encoding of musical data and serves as a practical reference fo.
Read More ↓Edition Statements
- Publication Date:©2004.
Publication Statements
- Publisher(s):Chapman & Hall/CRC
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:©2004.
Notes
Title from PDF title page (viewed January 29, 2007).
The Physical Object
- Description:1 online resource (viii, 299 pages) : : illustrations
Edition Identifiers
- ISBN:1584882190, 9781584882190, 0203496949, 9780203496947, 9781135442491, 1135442495, 9781135442446, 1135442444, 9781135442484, 1135442487, 9786610309412, 6610309418
- oclc:ocn123380447
- LC Classification:MT6
- Dewey Decimal:781.2
Table of Contents
Preface; CHAPTER 1 Some mathematical foundations of music; CHAPTER 2 Exploratory data mining in musical spaces; CHAPTER 3 Global measures of structure and randomness; CHAPTER 4 Time series analysis; CHAPTER 5 Hierarchical methods; CHAPTER 6 Markov chains and hidden Markov models; CHAPTER 7 Circular statistics; CHAPTER 8 Principal component analysis; CHAPTER 9 Discriminant analysis; CHAPTER 10 Cluster analysis; CHAPTER 11 Multidimensional scaling; List of figures; References; Author index; Subject index.
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