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Matthias Templ

Matthias TemplMatthias Templ is associated professor at the Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology (Austria). He is additionally employed as a scientist at the methods unit at Statistics Austria, and togetherwith two colleagues, he owns the company called data-analysis OG. His main research interests are in the areas of imputation, statistical disclosure control, visualization, compositional data analysis, computational statistics, robustness teaching in statistics, and multivariate methods. In the last few years, Matthias has published more than 45 papers in well-known indexed scientific journals. He is the author and maintainer of several R packages for official statistics, such as the R package sdcMicro for statistical disclosure control, the VIM package for visualization and imputation of missing values, the simPop package for synthetic population simulation, and the robCompositions package for robust analysis of compositional data. In addition, he is the editor of the Austrian Journal of Statistics that is free of charge and open-access. The probability is high to find him at the top of a mountain in his leisure time. Read More Read Less

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1.
Visualization and Imputation of Missing Values
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AED524
Binding:
Hardback
Release:
30 Nov 2023
Language:
English
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2.
Statistical Disclosure Control for Microdata
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AED196
Binding:
Paperback
Release:
28 Jul 2018
Language:
English
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3.
Applied Compositional Data Analysis
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AED430
Binding:
Hardback
Release:
13 Nov 2018
Language:
English
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4.
Statistical Disclosure Control for Microdata
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AED273
Binding:
Hardback
Release:
12 May 2017
Language:
English
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5.
Visualization and Imputation of Missing Values
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AED713
Binding:
Paperback
Release:
30 Nov 2024
Language:
English
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6.
New Developments in Statistical Disclosure Control and Imputation
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AED433
Binding:
Paperback
Release:
03 Jun 2009
Language:
English
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7.
Simulation for Data Science with R
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AED192
Binding:
Digital (delivered electronically)
Release:
30 Jun 2016
Language:
English
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