On Periodic Asymmetric Extrapolation
- Authors: Boiko T.1, Karpenkov O.1, Rakhimberdiev B.2
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Affiliations:
- University of Liverpool
- Check Mobile GmbH
- Issue: Vol 104, No 5-6 (2018)
- Pages: 642-654
- Section: Article
- URL: https://journal-vniispk.ru/0001-4346/article/view/151473
- DOI: https://doi.org/10.1134/S0001434618110044
- ID: 151473
Cite item
Abstract
In this paper, we develop a new technique for the asymmetric approximation of discrete functions arising in seasonal customer demand extrapolation. We adapt the technique for two different settings, the so-called pull and push models. Our main goal here is to find effectively extrapolations minimizing the loss. For bothmodels, we discuss several features related to sampling, approximation, and extrapolation.
About the authors
T. Boiko
University of Liverpool
Author for correspondence.
Email: t.boiko@liverpool.ac.uk
United Kingdom, Liverpool, L693BX
O. Karpenkov
University of Liverpool
Email: t.boiko@liverpool.ac.uk
United Kingdom, Liverpool, L693BX
B. Rakhimberdiev
Check Mobile GmbH
Email: t.boiko@liverpool.ac.uk
Russian Federation, Moscow, 115230
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