This study proposes a quantification measure for heteroskedasticity in the time series. Two methods are introduced for quantifying heteroskedasticity: Slope of Local Variance Index (SoLVI) and a statistical divergence method using Bhattacharys coefficient. Both measures show reliability in measuring and quantifying heteroskedasticity in comparison to numerical and hypothesis heteroskedasticity tests.
History
Pagination
xi, 95 pages : figures, some coloured.
Open access
Yes
Material type
thesis
Resource type
thesis
Language
eng
Degree type
Research doctorate
Degree name
PhD.
Copyright notice
The Author. All Rights Reserved
Editor/Contributor(s)
S Nahavandi Saeid, M Hossny Mohammed, D Creighton Douglas
Faculty
Institute for Intelligent Systems Research and Innovation