| Imputation with the R Package VIM A Kowarik, M Templ Journal of statistical software 74, 1-16, 2016 | 620 | 2016 |
| Cluster analysis applied to regional geochemical data: problems and possibilities M Templ, P Filzmoser, C Reimann Applied geochemistry 23 (8), 2198-2213, 2008 | 470 | 2008 |
| 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 | 388 | 2011 |
| Applied compositional data analysis P Filzmoser, K Hron, M Templ Cham: Springer, 2018 | 354 | 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 | 323 | 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 | 253 | 2015 |
| 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 | 198 | 2012 |
| Iterative stepwise regression imputation using standard and robust methods M Templ, A Kowarik, P Filzmoser Computational Statistics & Data Analysis 55 (10), 2793-2806, 2011 | 194 | 2011 |
| 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 | 187 | 2012 |
| Exploring incomplete data using visualization techniques M Templ, A Alfons, P Filzmoser Advances in Data Analysis and Classification 6 (1), 29-47, 2012 | 141 | 2012 |
| 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 | 122 | 2016 |
| Statistical disclosure control for micro-data using the R package sdcMicro M Templ, A Kowarik, B Meindl Journal of Statistical Software 67, 1-36, 2015 | 119 | 2015 |
| Statistical disclosure control for microdata using the R-package sdcMicro M Templ Transactions on Data Privacy 1 (2), 67-85, 2008 | 119 | 2008 |
| VIM: visualization and imputation of missing values M Templ, A Alfons, A Kowarik, B Prantner R package version 2 (3), 2, 2011 | 115 | 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 | 106 | 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 | 98 | 2011 |
| Comparison of zero replacement strategies for compositional data with large numbers of zeros S Lubbe, P Filzmoser, M Templ Chemometrics and Intelligent Laboratory Systems 210, 104248, 2021 | 86 | 2021 |
| Statistical disclosure control for microdata M Templ Cham: Springer, 2017 | 83 | 2017 |
| Simulation of synthetic complex data: The R package simPop M Templ, B Meindl, A Kowarik, O Dupriez Journal of Statistical Software 79 (10), 1-38, 2017 | 78 | 2017 |
| 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 (2 …, 2013 | 77 | 2013 |
Peter FilzmoserProfessor of Statistics, TU Wien在 tuwien.ac.at 的电子邮件经过验证
