| Introduction to multivariate statistical analysis in chemometrics K Varmuza, P Filzmoser CRC press, 2016 | 1745 | 2016 |
| Statistical data analysis explained: applied environmental statistics with R C Reimann, P Filzmoser, R Garrett, R Dutter John Wiley & Sons, 2011 | 1222 | 2011 |
| Background and threshold: critical comparison of methods of determination C Reimann, P Filzmoser, RG Garrett Science of the total environment 346 (1-3), 1-16, 2005 | 1047 | 2005 |
| Normal and lognormal data distribution in geochemistry: death of a myth. Consequences for the statistical treatment of geochemical and environmental data C Reimann, P Filzmoser Environmental geology 39, 1001-1014, 2000 | 797 | 2000 |
| Factor analysis applied to regional geochemical data: problems and possibilities C Reimann, P Filzmoser, RG Garrett Applied geochemistry 17 (3), 185-206, 2002 | 702 | 2002 |
| Repeated double cross validation P Filzmoser, B Liebmann, K Varmuza Journal of Chemometrics: A Journal of the Chemometrics Society 23 (4), 160-171, 2009 | 687 | 2009 |
| Principal component analysis for compositional data with outliers P Filzmoser, K Hron, C Reimann Environmetrics: The Official Journal of the International Environmetrics …, 2009 | 610 | 2009 |
| Outlier identification in high dimensions P Filzmoser, R Maronna, M Werner Computational statistics & data analysis 52 (3), 1694-1711, 2008 | 590 | 2008 |
| Multivariate outlier detection in exploration geochemistry P Filzmoser, RG Garrett, C Reimann Computers & geosciences 31 (5), 579-587, 2005 | 581 | 2005 |
| An object-oriented framework for robust multivariate analysis V Todorov, P Filzmoser Journal of Statistical Software 32, 1-47, 2010 | 512 | 2010 |
| Cluster analysis applied to regional geochemical data: problems and possibilities M Templ, P Filzmoser, C Reimann Applied geochemistry 23 (8), 2198-2213, 2008 | 497 | 2008 |
| Univariate statistical analysis of environmental (compositional) data: problems and possibilities P Filzmoser, K Hron, C Reimann Science of the Total Environment 407 (23), 6100-6108, 2009 | 482 | 2009 |
| robCompositions: an R‐package for robust statistical analysis of compositional data M Templ, K Hron, P Filzmoser Compositional data analysis: theory and applications, 341-355, 2011 | 419 | 2011 |
| Applied compositional data analysis P Filzmoser, K Hron, M Templ Cham: Springer, 2018 | 394 | 2018 |
| Imputation of missing values for compositional data using classical and robust methods K Hron, M Templ, P Filzmoser Computational Statistics & Data Analysis 54 (12), 3095-3107, 2010 | 342 | 2010 |
| Algorithms for projection–pursuit robust principal component analysis C Croux, P Filzmoser, MR Oliveira Chemometrics and Intelligent Laboratory Systems 87 (2), 218-225, 2007 | 303 | 2007 |
| Chemistry of Europe's agricultural soils C Reimann, M Birke, A Demetriades, P Filzmoser, P O'Connor Bundesanstalt für Geowissenschaften und Rohstoffe (BGR), 2014 | 286 | 2014 |
| Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research H Treiblmaier, P Filzmoser Information & management 47 (4), 197-207, 2010 | 285 | 2010 |
| Bayesian-multiplicative treatment of count zeros in compositional data sets JA Martín-Fernández, K Hron, M Templ, P Filzmoser, ... Statistical Modelling 15 (2), 134-158, 2015 | 276 | 2015 |
| The concept of compositional data analysis in practice—total major element concentrations in agricultural and grazing land soils of Europe C Reimann, P Filzmoser, K Fabian, K Hron, M Birke, A Demetriades, ... Science of the total environment 426, 196-210, 2012 | 267 | 2012 |
Matthias TemplUniversity of Applied Sciences and Arts Northwestern SwitzerlandPatvirtintas el. paštas fhnw.ch
