Passfield, Louis, Dietz, Kristina Charlotte, Hopker, James G., Jobson, Simon A. (2013) Objective time-binning in exposure variation analysis. IMA Journal of Management Mathematics, 24 (3). pp. 269-282. ISSN 1471-6798. E-ISSN 1471-678X. (doi:10.1093/imaman/dps009) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:43675)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1093/imaman/dps009 |
Abstract
The development of optimized training regimens requires a comprehensive understanding of training induced adaptations using a combination of laboratory-based and field-based research methods. Field based research often necessitates the use of data-reduction methods, which frequently require sports scientists to make discretization choices. In the present paper, we show how Shannon entropy can be used to reduce the inherent subjectivity of these binning choices when exposure variation analysis is used to quantify variation in power output in training data from competitive cyclists.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1093/imaman/dps009 |
Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics R Medicine > RC Internal medicine > RC1200 Sports medicine |
Divisions: | Divisions > Division of Natural Sciences > Sport and Exercise Sciences |
Depositing User: | James Hopker |
Date Deposited: | 23 Oct 2014 19:56 UTC |
Last Modified: | 05 Nov 2024 10:28 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/43675 (The current URI for this page, for reference purposes) |
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):