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Trend identification and the Bézier-Bernstein Operator

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thesis
posted on 17.10.2017 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.]

History

School

  • Science

Department

  • Mathematical Sciences

Publisher

© R.J. Cripps

Publisher 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

1986

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.

Language

en

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