The analysis and forecasting of male cycling time trial records established within England and Wales

This source preferred by Bryce Dyer

Authors: Dyer, B., Hassani, H. and Shadi, M.

Journal: Journal of Sports Sciences

Publisher: Taylor & Francis

ISSN: 0264-0414

DOI: 10.1080/02640414.2015.1105378

This data was imported from PubMed:

Authors: Dyer, B., Hassani, H. and Shadi, M.

Journal: J Sports Sci

Volume: 34

Issue: 13

Pages: 1222-1230

eISSN: 1466-447X

DOI: 10.1080/02640414.2015.1105378

The format of cycling time trials in England, Wales and Northern Ireland, involves riders competing individually over several fixed race distances of 10-100 miles in length and using time constrained formats of 12 and 24 h in duration. Drawing on data provided by the national governing body that covers the regions of England and Wales, an analysis of six male competition record progressions was undertaken to illustrate its progression. Future forecasts are then projected through use of the Singular Spectrum Analysis technique. This method has not been applied to sport-based time series data before. All six records have seen a progressive improvement and are non-linear in nature. Five records saw their highest level of record change during the 1950-1969 period. Whilst new record frequency generally has reduced since this period, the magnitude of performance improvement has generally increased. The Singular Spectrum Analysis technique successfully provided forecasted projections in the short to medium term with a high level of fit to the time series data.

This data was imported from Scopus:

Authors: Dyer, B., Hassani, H. and Shadi, M.

Journal: Journal of Sports Sciences

Volume: 34

Issue: 13

Pages: 1222-1230

eISSN: 1466-447X

ISSN: 0264-0414

DOI: 10.1080/02640414.2015.1105378

© 2015 Taylor & Francis. The format of cycling time trials in England, Wales and Northern Ireland, involves riders competing individually over several fixed race distances of 10–100 miles in length and using time constrained formats of 12 and 24 h in duration. Drawing on data provided by the national governing body that covers the regions of England and Wales, an analysis of six male competition record progressions was undertaken to illustrate its progression. Future forecasts are then projected through use of the Singular Spectrum Analysis technique. This method has not been applied to sport-based time series data before. All six records have seen a progressive improvement and are non-linear in nature. Five records saw their highest level of record change during the 1950–1969 period. Whilst new record frequency generally has reduced since this period, the magnitude of performance improvement has generally increased. The Singular Spectrum Analysis technique successfully provided forecasted projections in the short to medium term with a high level of fit to the time series data.

This data was imported from Web of Science (Lite):

Authors: Dyer, B., Hassani, H. and Shadi, M.

Journal: JOURNAL OF SPORTS SCIENCES

Volume: 34

Issue: 13

Pages: 1222-1230

eISSN: 1466-447X

ISSN: 0264-0414

DOI: 10.1080/02640414.2015.1105378

This data was imported from Europe PubMed Central:

Authors: Dyer, B., Hassani, H. and Shadi, M.

Journal: Journal of sports sciences

Volume: 34

Issue: 13

Pages: 1222-1230

eISSN: 1466-447X

ISSN: 0264-0414

The format of cycling time trials in England, Wales and Northern Ireland, involves riders competing individually over several fixed race distances of 10-100 miles in length and using time constrained formats of 12 and 24 h in duration. Drawing on data provided by the national governing body that covers the regions of England and Wales, an analysis of six male competition record progressions was undertaken to illustrate its progression. Future forecasts are then projected through use of the Singular Spectrum Analysis technique. This method has not been applied to sport-based time series data before. All six records have seen a progressive improvement and are non-linear in nature. Five records saw their highest level of record change during the 1950-1969 period. Whilst new record frequency generally has reduced since this period, the magnitude of performance improvement has generally increased. The Singular Spectrum Analysis technique successfully provided forecasted projections in the short to medium term with a high level of fit to the time series data.

The data on this page was last updated at 04:42 on November 20, 2017.