Mark C. Greenwood - Publications

Affiliations: 
Mathematical Sciences Montana State University, Bozeman, MT 
Area:
Statistics

7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Vsevolozhskaya OA, Greenwood MC, Powell SL, Zaykin DV. Resampling-based multiple comparison procedure with application to point-wise testing with functional data. Environmental and Ecological Statistics. 22: 45-59. PMID 27695383 DOI: 10.1007/S10651-014-0282-7  0.67
2015 Vsevolozhskaya OA, Greenwood MC, Powell SL, Zaykin DV. Resampling-based multiple comparison procedure with application to point-wise testing with functional data Environmental and Ecological Statistics. 22: 45-59. DOI: 10.1007/s10651-014-0282-7  0.665
2014 Vsevolozhskaya OA, Zaykin DV, Greenwood MC, Wei C, Lu Q. Functional analysis of variance for association studies. Plos One. 9: e105074. PMID 25244256 DOI: 10.1371/Journal.Pone.0105074  0.619
2014 Vsevolozhskaya O, Greenwood M, Holodov D. Pairwise comparison of treatment levels in functional analysis of variance with application to erythrocyte hemolysis Annals of Applied Statistics. 8: 905-925. DOI: 10.1214/14-Aoas723  0.65
2013 Vsevolozhskaya OA, Greenwood MC, Bellante GJ, Powell SL, Lawrence RL, Repasky KS. Combining functions and the closure principle for performing follow-up tests in functional analysis of variance Computational Statistics and Data Analysis. 67: 175-184. DOI: 10.1016/J.Csda.2013.05.005  0.663
2012 Greenwood MC. A comparison of plots for monothetic clustering, with applications to microbial communities and educational test development Electronic Journal of Applied Statistical Analysis. 5: 1-14. DOI: 10.1285/I20705948V5N1P1  0.31
2011 Greenwood MC, Sojda RS, Sharp JL, Peck RG, Rosenberry DO. Multi-scale Clustering of Functional Data with Application to Hydraulic Gradients in Wetlands Journal of Data Science. 9: 399-426. DOI: 10.6339/Jds.2011.09(3).937  0.338
Show low-probability matches.