Kimihiro Noguchi, PhD
Nonparametric statistics, robust statistics, bootstrap methods, time series analysis, change point analysis, functional data analysis, multiple comparisons, statistical graphics, statistical applications to biomedical engineering, environmental science, behavioral sciences, and astronomy.
Educational & Professional Experience:
Professor, Department of Mathematics, Western Washington University, 2022-Present.
Associate Professor, Department of Mathematics, Western Washington University, 2018-2022.
Assistant Professor, Department of Mathematics, Western Washington University, 2014-2018.
Postdoctoral Fellow/Visiting Assistant Professor, Department of Statistics, Colorado State University, 2013-2014.
Ph.D. in Statistics (2013). University of California, Davis. See this link.
For a full list, please see the Google Scholar site.
Publications with Student Co-Authors (Indicated in Bold):
Noguchi, K. and Robles, K.F. (2022). On generating distributions with the memoryless property. The American Statistician, 76(3), 280-285.
Erps, R.C. and Noguchi, K. (2020). A robust test for checking the homogeneity of variability measures and its application to the analysis of implicit attitudes. Journal of Educational and Behavioral Statistics 45(4), 403-425.
Noguchi, K., Abel, R.S., Marmolejo-Ramos, F., and Konietschke, F. (2020). Nonparametric multiple comparisons. Behavior Research Methods 52, 489-502.
Hansen, B. and Noguchi, K. (2017). Improved short-term point and interval forecasts of the daily maximum tropospheric ozone levels via singular spectrum analysis. Environmetrics 28; e2479.
Coffey, S.R.,Bragg, R.M., Minnig, S., Ament, S.A., Cantle, J.P., Glickenhaus, A., Shelnut, D., Carrillo, J.M., Shuttleworth, D.D., Rodier, J.-A., Noguchi, K., Bennett, C.F., Price, N.D., Kordasiewicz, H.B., Carroll, J.B. (2017). Peripheral huntingtin silencing does not ameliorate central sign of disease in the B6.Htt Q111/+ mouse model of Huntington's disease. PLoS ONE 12(4): e0175968.
Other Selected Publications:
Noguchi, K., Konietschke, F., Marmolejo-Ramos, F., and Pauly, M. (2021). Permutation tests are robust and powerful at 0.5% and 5% significance levels. Behavior Research Methods 53, 2712-2724.
Noguchi, K. and Marmolejo-Ramos, F. (2016). Assessing equality of means using the overlap of range-preserving confidence intervals. The American Statistician, 70(4), 325-334.
Noguchi, K., Aue, A., and Burman, P. (2016). Exploratory analysis and modeling of stock returns. Journal of Computational and Graphical Statistics, 25(2), 363-381.
Noguchi, K., Gel, Y.R., Brunner, E., and Konietschke, F. (2012). nparLD: An R software package for the nonparametric analysis of longitudinal data in factorial experiments. Journal of Statistical Software, 50(i12).