Thesis-1986-Cripps.pdf (2.61 MB)
Download fileTrend identification and the Bézier-Bernstein Operator
thesis
posted on 2017-10-17, 10:23 authored by Robert J. CrippsThe techniques for identifying or describing the trend of
data sequences generally rely on fitting either globally or
locally piecewise, a low order polynomial to the observations.
For data sequences containing trend with random and/or
oscillatory movement the choice of the trend descriptor relies
more on experience than technique. [Continues.]
History
School
- Science
Department
- Mathematical Sciences
Publisher
© R.J. CrippsPublisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 2.5 Generic (CC BY-NC-ND 2.5) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/2.5/Publication date
1986Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.Language
- en