Basic Statistical Considerations for Studying Variance
Author:
Affiliation:
1. Graduate School of Humanities and Social Sciences, Hiroshima University
Publisher
Japanese Neural Network Society
Link
https://www.jstage.jst.go.jp/article/jnns/31/1/31_3/_pdf
Reference18 articles.
1. 1) Harris, C. M., Wolpert, D. M. (1998): Signal-dependent noise determines motor planning, Nature, Vol.394(6695), pp.780-784; doi:10.1038/29528.
2. 2) Hausdorff, J. M. (2005): Gait variability: methods, modeling and meaning, J. Neuroeng. Rehabil., Vol.2(1), 19; doi:10.1186/1743-0003-2-19.
3. 3) Schmidt, R. A., Lee, T. D. (2011): Motor control and learning: A behavioral emphasis (5th ed.), Human Kinetics Pub., Champaign.
4. 4) Moon, Y., Sung, J., An, R., Hernandez, M. E., Sosnoff, J. J. (2016): Gait variability in people with neurological disorders: A systematic review and meta-analysis, Hum. Mov. Sci., Vol.47, pp.197-208; doi:https://doi.org/10.1016/j.humov.2016.03.010.
5. 5) Heathcote, A., Popiel, S. J., Mewhort, D. J. (1991): Analysis of response time distributions: An example using the Stroop task, Psychol. Bull., Vol.109(2), pp.340-347; doi:10.1037/0033-2909.109.2.340.
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