| Cluster analysis applied to regional geochemical data: problems and possibilities M Templ, P Filzmoser, C Reimann Applied Geochemistry 23 (8), 2198-2213, 2008 | 315 | 2008 |
| 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 | 212 | 2010 |
| Imputation with the R Package VIM A Kowarik, M Templ Journal of Statistical Software 74 (7), 1-16, 2016 | 211 | 2016 |
| robCompositions: an R-package for robust statistical analysis of compositional data M Templ, K Hron, P Filzmoser na 36, 341-354, 2011 | 201 | 2011 |
| Iterative stepwise regression imputation using standard and robust methods M Templ, A Kowarik, P Filzmoser Computational Statistics & Data Analysis 55 (10), 2793-2806, 2011 | 125 | 2011 |
| Analysis of commercial and free and open source solvers for linear optimization problems B Meindl, M Templ Eurostat and Statistics Netherlands within the project ESSnet on common …, 2012 | 119 | 2012 |
| 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 | 108 | 2015 |
| Model-based replacement of rounded zeros in compositional data: classical and robust approaches JA Martín-Fernández, K Hron, M Templ, P Filzmoser, ... Computational Statistics & Data Analysis 56 (9), 2688-2704, 2012 | 108 | 2012 |
| Statistical disclosure control for microdata using the R-package sdcMicro M Templ Transactions on Data Privacy 1 (2), 67-85, 2008 | 99 | 2008 |
| VIM: visualization and imputation of missing values M Templ, A Alfons, A Kowarik, B Prantner R package version 2 (3), 2011 | 94* | 2011 |
| Applied compositional data analysis P Filzmoser, K Hron, M Templ Switzerland: Springer Nature, 2018 | 83 | 2018 |
| Exploring incomplete data using visualization techniques M Templ, A Alfons, P Filzmoser Advances in Data Analysis and Classification 6 (1), 29-47, 2012 | 81 | 2012 |
| Simulation of close-to-reality population data for household surveys with application to EU-SILC A Alfons, S Kraft, M Templ, P Filzmoser Statistical Methods & Applications 20 (3), 383-407, 2011 | 71 | 2011 |
| Estimation of social exclusion indicators from complex surveys: The R package laeken A Alfons, M Templ KU Leuven, Faculty of Business and Economics Working Paper, 2012 | 69 | 2012 |
| Statistical disclosure control for micro-data using the R package sdcMicro M Templ, A Kowarik, B Meindl Journal of Statistical Software 67 (1), 1-36, 2015 | 63 | 2015 |
| robCompositions: Robust estimation for compositional data M Templ, K Hron, P Filzmoser Manual and package, version 1 (4), 2011 | 61 | 2011 |
| Simplicial principal component analysis for density functions in Bayes spaces K Hron, A Menafoglio, M Templ, K Hrůzová, P Filzmoser Computational Statistics & Data Analysis 94, 330-350, 2016 | 56 | 2016 |
| Robust estimation of economic indicators from survey samples based on Pareto tail modelling A Alfons, M Templ, P Filzmoser Journal of the Royal Statistical Society: Series C (Applied Statistics) 62 …, 2013 | 51 | 2013 |
| An object-oriented framework for statistical simulation: The R package simFrame A Alfons, M Templ, P Filzmoser na, 2010 | 47 | 2010 |
| Visualization of missing values using the R-package VIM M Templ, P Filzmoser Reserach report cs-2008-1, Department of Statistics and Probability Therory …, 2008 | 45 | 2008 |
Peter FilzmoserProfessor of Statistics, Vienna University of TechnologyVerified email at tuwien.ac.at
