A01=Jan Beran
advanced statistical methods in musicology
Author_Jan Beran
BA CH
brahms
Category=AVA
Category=PBT
cello
CHOPIN
Circular Data
Complete Linkage Clustering
computational music theory
curves
Das Wohltemperierte Klavier
Data Set
density
digital music research
Discriminant Rule
Distance Matrix
eq_art-fashion-photography
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_music
eq_nobargain
eq_non-fiction
Fractional ARIMA
Group Gi
Hidden Markov Models
johannes
Linear Discriminant Analysis
Local Polynomial
Low Dimensional Euclidian Space
Markov Chain
Mod 12
Mozart
musical data encoding
Onset Time
performance analysis methods
Principal Component Transformation
quantitative music analysis
RA CH
Sc Hu
spectral
statistical modeling techniques
suites
Symbol Plot
tempo
Tempo Curves
Torus Distances
zentralbibliothek
zrich
Product details
- ISBN 9781584882190
- Weight: 730g
- Dimensions: 156 x 234mm
- Publication Date: 15 Jul 2003
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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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 for a wide audience, including statisticians, mathematicians, musicologists, and musicians.
Beran, Jan
