Thesis-1986-Cripps.pdf (2.61 MB)
Trend identification and the Bézier-Bernstein Operator
thesisposted on 2017-10-17, 10:23 authored by Robert J. Cripps
The 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.]
- Mathematical Sciences
Publisher© R.J. Cripps
Publisher statementThis 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/
NotesA Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.