| Description |
1 online resource (308 pages) |
| Contents |
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 |
| 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 |
| Notes |
Print version record |
| Subject |
Musicology -- Mathematical models
|
| Form |
Electronic book
|
| ISBN |
9780203496947 |
|
0203496949 |
|
