Encouraging replication and reproducible research

International Journal of Forecasting

Volumn 26, Issue 1, 2010, Pages 2-3

  Hyndman, Rob J ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 74149093113     PISSN: 01692070     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijforecast.2009.12.003     Document Type: Editorial

References (6)

1. Evanschitzky H., and Armstrong J.S. Replications of forecasting research. International Journal of Forecasting 26 1 (2010) 4-8
2. Fildes R., Hibon M., Makridakis S., and Meade N. Generalising about univariate forecasting methods: Further empirical evidence. International Journal of Forecasting 14 (1998) 339-358
3. Gardner Jr. E.S., and Diaz-Saiz J. Exponential smoothing in the telecommunications data. International Journal of Forecasting 24 (2008) 170-174
4. Koenker R., and Zeilis A. On reproducible econometric research. Journal of Applied Econometrics 24 5 (2009) 833-847
5. Laine C., Goodman S.N., Griswold M.E., and Sox H.C. Reproducible research: moving toward research the public can really trust. Annals of Internal Medicine 146 6 (2007) 450-453
6. Peng R.D., Dominici F., and Zeger S.L. Reproducible epidemiologic research. American Journal of Epidemiology 163 9 (2006) 783-789