Kimihiro Noguchi, PhD

Associate Professor

Educational & Professional Experience:

Associate Professor, Department of Mathematics, Western Washington University, 2018-Present.

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. (2013). University of California, Davis. See this link.


Recent Publications

For a full list, please see the Google Scholar site.

Publications with Student Co-Authors (Indicated in Bold):

Erps, R.C. and Noguchi, K. (2019). 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, accepted.

Noguchi, K., Abel, R.S., Marmolejo-Ramos, F., and Konietschke, F. (2019). Nonparametric multiple comparisons. Behavior Research Methods, accepted.

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. 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).