Peter Filzmoser
Researcher Next ID · RN-040222
Researcher · Computer Science
Vienna, Austria
- Works count
- 489
- Citation count
- 20,283
- H-index
- 69
- i10-index
- 201
Research interests
Publications
Applied Compositional Data Analysis
Springer series in statistics · 2018 · https://doi.org/10.1007/978-3-319-96422-5
GEMAS: Establishing geochemical background and threshold for 53 chemical elements in European agricultural soil
Applied Geochemistry · 2017 · 10.1016/j.apgeochem.2017.01.021
Bayesian-multiplicative treatment of count zeros in compositional data sets
Statistical Modelling · 2014 · 10.1177/1471082x14535524
The concept of compositional data analysis in practice — Total major element concentrations in agricultural and grazing land soils of Europe
The Science of The Total Environment · 2012 · 10.1016/j.scitotenv.2012.02.032
robCompositions: An R‐package for Robust Statistical Analysis of Compositional Data
Journal · 2011 · https://doi.org/10.1002/9781119976462.ch25
Introduction to Multivariate Statistical Analysis in Chemometrics
Journal · 2010 · https://doi.org/10.1201/9781420059496
Univariate statistical analysis of environmental (compositional) data: Problems and possibilities
The Science of The Total Environment · 2009 · https://doi.org/10.1016/j.scitotenv.2009.08.008
An Object-Oriented Framework for Robust Multivariate Analysis
Journal of Statistical Software · 2009 · https://doi.org/10.18637/jss.v032.i03
Principal component analysis for compositional data with outliers
Environmetrics · 2009 · https://doi.org/10.1002/env.966
Repeated double cross validation
Journal of Chemometrics · 2009 · https://doi.org/10.1002/cem.1225
Imputation of missing values for compositional data using classical and robust methods
Computational Statistics & Data Analysis · 2009 · https://doi.org/10.1016/j.csda.2009.11.023
Statistical Data Analysis Explained
Journal · 2008 · https://doi.org/10.1002/9780470987605
Statistical data analysis explained : applied environmental statics with R
Medical Entomology and Zoology · 2008
Cluster analysis applied to regional geochemical data: Problems and possibilities
Applied Geochemistry · 2008 · https://doi.org/10.1016/j.apgeochem.2008.03.004
Algorithms for Projection–Pursuit robust principal component analysis
Chemometrics and Intelligent Laboratory Systems · 2007 · 10.1016/j.chemolab.2007.01.004
Outlier identification in high dimensions
Computational Statistics & Data Analysis · 2007 · https://doi.org/10.1016/j.csda.2007.05.018
Background and threshold: critical comparison of methods of determination
The Science of The Total Environment · 2005 · https://doi.org/10.1016/j.scitotenv.2004.11.023
Multivariate outlier detection in exploration geochemistry
Computers & Geosciences · 2005 · https://doi.org/10.1016/j.cageo.2004.11.013
Factor analysis applied to regional geochemical data: problems and possibilities
Applied Geochemistry · 2002 · https://doi.org/10.1016/s0883-2927(01)00066-x
Normal and lognormal data distribution in geochemistry: death of a myth. Consequences for the statistical treatment of geochemical and environmental data
Environmental Geology · 2000 · https://doi.org/10.1007/s002549900081
Current projects
No projects listed.