Objective time-binning in exposure variation analysis

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. (Contact us about this Publication)
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 > School of Sport and Exercise Sciences
Depositing User:	James Hopker
Date Deposited:	23 Oct 2014 19:56 UTC
Last Modified:	16 Feb 2021 12:56 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/43675 (The current URI for this page, for reference purposes)
Passfield, Louis:	https://orcid.org/0000-0001-6223-162X
Hopker, James G.:	https://orcid.org/0000-0002-4786-7037

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