Erich Neuwirth

Erich Neuwirth (born October 17, 1948) is a professor emeritus of statistics and computer science at the University of Vienna.

Research

Neuwirth studied Mathematics and Statistics at the University of Vienna and received the doctorate in 1974. He started teaching at the University of Vienna in 1969 and was promoted to professor in 1987. He was employed at the Department for Statistics and Decision Support Systems at the faculty of mathematics and the faculty of computer science.

He was a visiting professor at the Northeastern University (Boston) and the National Institute of Multimedia Education in Makuhari (Japan).

The main areas of his research are election analysis and forecasts, combinatorics, mathematics and music and spreadsheets as tools for mathematical understanding. Another important research area is the PISA studies. He investigated the statistical analysis of the PISA studies 2003 and recognized significant errors. Due to his findings the results of the studies were corrected.

Other

Erich Neuwirth developed the statconn Server and RExcel.^[1] with Thomas Baier. The statconn server combines R and Scilab with MS Excel or Open Office. RExcel is an add-in for Microsoft Excel, which allows the use of R within MS Excel.

Awards

Neuwirth won the European Academic Software Award 1996 for STIMM.^[2]
This project later became the book (+ Multimedia CD) Musical Temperament mentioned in the Books section.

Books

Erich Neuwirth: Musical Temperaments, Springer, Wien (January 1998), ISBN 978-3-211-83040-6
Erich Neuwirth, Ivo Ponocny und Wilfried Grossmann: PISA 2000 und PISA 2003: Vertiefende Analysen und Beiträge zur Methodik, Leykam (June 2006), ISBN 3-7011-7569-1
Erich Neuwirth, Deane Arganbright: The Active Modeler: Mathematical Modeling with Microsoft Excel, Duxbury, ISBN 0-534-42085-0
Erich Neuwirth, Richard M. Heiberger: R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics, Springer, ISBN 978-1-4419-0051-7

References

External links

Authority control	WorldCat Identities VIAF: 44009098 LCCN: n97091010 ISNI: 0000 0001 2023 1736 GND: 111104416 SUDOC: 081577729 MGP: 115501

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