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02.07.2015 10:19 Alter: 4 yrs

Österreichischen Statistiktage 2015

Verlängerung des Call for Papers bis 14. Juli


Die Österreichische Statistische Gesellschaft veranstaltet vom 21. bis 23.

Oktober 2015 in Wien die Österreichischen Statistiktage 2015. Die Tagung

findet in den Räumlichkeiten der Statistik Austria statt.

Das wissenschaftliche Programm beinhaltet sowohl eingeladene

Hauptvorträge, mündliche Präsentationen als auch Posterbeiträge.

Interessenten mögen ein etwa einseitiges Abstrakt (in Deutsch oder

Englisch) bis spätestens 14. Juli 2015 an osg@statistik.gv.at schicken.

Allgemeine Vorträge aus dem Bereich Statistik sind ebenso erwünscht, wie

Beiträge zu den ausgewählten Themenbereichen der Konferenz:

 Implementing the Code of Practice in Official Statistics

 Data Quality in Statistical Surveys

 Data Science

 Copulas

 Multivariate, multi-level and multi-state analysis in demography

Auch junge StatistikerInnen sind eingeladen, ihre Forschungsarbeiten

(Master-/Diplomarbeiten, Dissertationen) in einem Vortrag vorzustellen.

Die ÖSG gewährt im Rahmen einer Mitgliedschaft in der Gesellschaft eine

begrenzte Anzahl von Reisekostenzuschüssen für Vortragende.

Das Programmkomitee (in alphabetischer Reihenfolge):

Arne Bathke, Margit Epler, Hudec Marcus, Konrad Pesendorfer,

Andreas Quatember, Maria-Rita Testa

Abstracts zu den Themenbereichen:

Implementing the Code of Practice in Official Statistics – The 2014/15

Round of Peer Reviews in the European Statistical System

(Chair: Konrad Pesendorfer – Statistics Austria)

Professional independence and high quality standards are fundamental pillars of official

statistics. As factual information becomes more and more important in a rules-based

policy environment of the EU political attention given to data produced by Statistical

Offices is increasing enormously. The Peer Review Process is set to ensure a sustainable

implementation of the important principles of the Code of Practice and hence should

guarantee the independent production of European Statistics.

Data Quality in Statistical Surveys

(Chair: Andreas Quatember – Johannes Kepler University of Linz, Department for applied

statistics)

This issue comprises the more technical aspects of statistical sampling theory and the

more practical aspects of survey methodology in population as well as sample surveys.

Hence, it includes topics such as sampling and non-sampling error, missing data,

statistical disclosure control, alternative questioning designs, and so on.

Data Science

(Chair: Marcus Hudec – Institute Data Technology; University of Vienna, Faculty of

Computer Science)

Scale and velocity of new data sources require new data management techniques and a

shift in computational/methodological paradigms. The effective use of big data to

produce reliable statistical results and answers to real world problems, which fulfil

common quality criteria, is still a great challenge. Contributions from academic as well as

official statistics dealing with these challenges, which have to be resolved to seize the

opportunity of big data are highly welcome.

Copulas

(Chair: Wolfgang Trutschnig – University of Salzburg, Department for Mathematics)

Being the link between joint and marginal distribution functions, copulas are the key

concept in dependence modelling. The copula session is open for both, applied

contributions introducing recent developments, as well as contributions with a more

theoretical focus.

Multivariate, multi-level and multi-state analysis in demography

(Chair: Maria Rita Testa – Vienna Institute of Demography of the Austrian Academy of

Sciences and Vienna University of Economics and Business)

This session deals with statistical methods used to unravel the complex and multidimensional

aspects of demographic phenomena. Multilevel models respond to this

challenge by studying how individuals interact with the context in which they operate.

Multi-state demography provides a methodology for analyzing transitions between states

in a life course context. Studies considering different levels of analysis and dynamic

transitions between demographic and socio-economic states are welcome in this session.